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https://patch-diff.githubusercontent.com/benthecoder/til#day-2-1-sep-2022
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How to Lead : YC Startup Library | Y Combinatorhttps://www.ycombinator.com/library/6s-how-to-lead
https://patch-diff.githubusercontent.com/benthecoder/til#day-31-30-sep-2022
MLOps Zoomcamp 2.6 - MLflow in practicehttps://www.youtube.com/watch?v=1ykg4YmbFVA&list=PL3MmuxUbc_hIUISrluw_A7wDSmfOhErJK&index=17
https://patch-diff.githubusercontent.com/benthecoder/til#day-32-1-oct-2022
Prefect - The New Standard in Dataflow Automation - Prefecthttps://www.prefect.io/
Why Not Airflow? | Prefect Docshttps://docs-v1.prefect.io/core/about_prefect/why-not-airflow.html#the-scheduler-service
https://patch-diff.githubusercontent.com/benthecoder/til#day-33-2-oct-2022
Learn Analytics Engineering with dbthttps://courses.getdbt.com/collections
https://patch-diff.githubusercontent.com/benthecoder/til#day-34-3-oct-2022
A Decade of Learnings from Y Combinator's CEO Michael Seibelhttps://www.youtube.com/watch?v=0MGNf1BIuxA
https://patch-diff.githubusercontent.com/benthecoder/til#day-35-4-oct-2022
Data Science at the Command Line, 2ehttps://datascienceatthecommandline.com/2e/index.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-36-5-oct-2022
sql - Difference between CTE and SubQuery? - Stack Overflowhttps://stackoverflow.com/questions/706972/difference-between-cte-and-subquery
CTEs versus Subqueries · Alisa in Techlandhttps://www.alisa-in.tech/post/2019-10-02-ctes/
SQL Window Functions: I guess that's why they call it window pain · Alisa in Techlandhttps://www.alisa-in.tech/post/2021-02-19-window/
https://patch-diff.githubusercontent.com/benthecoder/til#day-37-6-oct-2022
Lecture 09: Ethics (FSDL 2022)https://www.youtube.com/watch?v=7FQpbYTqjAA&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur
Attack discrimination with smarter machine learninghttps://research.google.com/bigpicture/attacking-discrimination-in-ml/
Transformer Circuits Threadhttps://transformer-circuits.pub/
Machine Learning CO2 Impact Calculatorhttps://mlco2.github.io/impact/#compute
CodeCarbon.iohttps://codecarbon.io/
Have I Been Trained?https://haveibeentrained.com/
Model Cardshttps://huggingface.co/docs/hub/model-cards
ethics checklist for data science projectshttps://deon.drivendata.org/examples/
https://patch-diff.githubusercontent.com/benthecoder/til#day-38-7-oct-2022
Anova – Type I/II/III SS explainedhttps://md.psych.bio.uni-goettingen.de/mv/unit/lm_cat/lm_cat_unbal_ss_explained.html#:~:text=The%20Type%20III%20SS%20will,weighted%20squares%20of%20means%20analysis.
Visualizing regularization and the L1 and L2 norms | by Chiara Campagnola | Towards Data Sciencehttps://towardsdatascience.com/visualizing-regularization-and-the-l1-and-l2-norms-d962aa769932
https://patch-diff.githubusercontent.com/benthecoder/til#day-39-8-oct-2022
TAMU Datathonhttps://tamudatathon.com/
benthecoder/gas_turbine_vizhttps://github.com/benthecoder/gas_turbine_viz
benthecoder/bloomberg_nlphttps://github.com/benthecoder/bloomberg_nlp
https://patch-diff.githubusercontent.com/benthecoder/til#day-40-9-oct-2022
Building and installing an R packagehttps://kbroman.org/pkg_primer/pages/build.html
Temporary Storage in R | Jonathan Trattnerhttps://www.jdtrat.com/blog/temporary-storage-in-r/
https://patch-diff.githubusercontent.com/benthecoder/til#day-41-10-oct-2022
Fugue in 10 minutes — Fugue Tutorialshttps://fugue-tutorials.readthedocs.io/tutorials/quick_look/ten_minutes.html
r-lib/progress: Progress bar in your R terminalhttps://github.com/r-lib/progress
Progress notifications with progressr • furrrhttps://furrr.futureverse.org/articles/progress.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-42-11-oct-2022
1000x faster data manipulation: vectorizing with Pandas and Numpyhttps://www.youtube.com/watch?v=nxWginnBklU
https://patch-diff.githubusercontent.com/benthecoder/til#day-43-12-oct-2022
How AI Image Generators Work (Stable Diffusion / Dall-E)https://www.youtube.com/watch?v=1CIpzeNxIhU&t=28s
Expert.aihttps://www.expert.ai/
https://patch-diff.githubusercontent.com/benthecoder/til#day-44-13-oct-2022
What is the difference between PCA and Factor Analysis? | by Joos Korstanje | Towards Data Sciencehttps://towardsdatascience.com/what-is-the-difference-between-pca-and-factor-analysis-5362ef6fa6f9
4 Distance Measures for Machine Learninghttps://machinelearningmastery.com/distance-measures-for-machine-learning/
https://patch-diff.githubusercontent.com/benthecoder/til#day-45-14-oct-2022
Active Learning | Bnomialhttps://articles.bnomial.com/active-learning
https://patch-diff.githubusercontent.com/benthecoder/til#day-46-15-oct-2022
What is NLP? (NLP video 1)https://www.youtube.com/watch?v=cce8ntxP_XI
https://patch-diff.githubusercontent.com/benthecoder/til#day-47-16-oct-2022
Topic Modeling with SVD & NMF (NLP video 2)https://www.youtube.com/watch?v=tG3pUwmGjsc&t=2142s
https://patch-diff.githubusercontent.com/benthecoder/til#day-48-17-oct-2022
NMF — A visual explainer and Python Implementationhttps://towardsdatascience.com/nmf-a-visual-explainer-and-python-implementation-7ecdd73491f8
Randomized Singular Value Decompositionhttps://gregorygundersen.com/blog/2019/01/17/randomized-svd/
https://patch-diff.githubusercontent.com/benthecoder/til#day-49-18-oct-2022
Topic Modeling & SVD revisited (NLP video 3)https://www.youtube.com/watch?v=lRZ4aMaXPBI
https://patch-diff.githubusercontent.com/benthecoder/til#day-50-19-oct-2022
Iterativehttps://iterative.ai/
DVChttps://github.com/iterative/dvc
CMLhttps://github.com/iterative/cml
Iterativehttps://github.com/iterative
Data Version Control · DVChttps://dvc.org/doc/user-guide/overview
CML · Continuous Machine Learninghttps://cml.dev/doc/usage
How Data Scientists Can Improve Their Productivity | Iterativehttps://iterative.ai/blog/how-data-scientists-can-improve-their-productivity
htorrence/pytest_examples: Reference package for unit testshttps://github.com/htorrence/pytest_examples
Unit Testing for Data Scientists - Hanna Torrencehttps://www.youtube.com/watch?v=Da-FL_1i6ps
https://patch-diff.githubusercontent.com/benthecoder/til#day-51-20-oct-2022
customer purchaseshttps://bradleyboehmke.github.io/HOML/kmeans.html#fig:correlation-distance-example
capture different cluster structureshttps://bradleyboehmke.github.io/HOML/model-clustering.html#fig:visualize-different-covariance-models
Clustering | Hands-On Machine Learning with Rhttps://bradleyboehmke.github.io/HOML/kmeans.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-52-21-oct-2022
benthecoder/notion_nlp: Adds NLP to Notionhttps://github.com/benthecoder/notion_nlp
https://patch-diff.githubusercontent.com/benthecoder/til#day-53-22-oct-2022
weichunnn/connectifyhttps://github.com/weichunnn/connectify
https://patch-diff.githubusercontent.com/benthecoder/til#day-54-23-oct-2022
How to Use t-SNE Effectivelyhttps://distill.pub/2016/misread-tsne/
https://patch-diff.githubusercontent.com/benthecoder/til#day-55-24-oct-2022
dekuhttps://docs.rs/deku/latest/deku/
Is JSON Blazingly Fast or...?https://www.youtube.com/watch?v=MuCK81q1edU
It's time... for PYTHON 3.11!https://www.youtube.com/watch?v=ueTXYhtlnjA
codehttps://github.com/mCodingLLC/VideosSampleCode/tree/master/videos/109_python_311_release
Probably Overthinking It: There is still only one testhttps://allendowney.blogspot.com/2016/06/there-is-still-only-one-test.html
John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014https://www.youtube.com/watch?v=5Dnw46eC-0o
https://patch-diff.githubusercontent.com/benthecoder/til#day-56-25-oct-2022
Precision & Recallhttps://mlu-explain.github.io/precision-recall/
ROC & AUChttps://mlu-explain.github.io/roc-auc/
https://patch-diff.githubusercontent.com/benthecoder/til#day-57-26-oct-2022
6. Singular Value Decomposition (SVD) - YouTubehttps://www.youtube.com/watch?v=rYz83XPxiZo
Principal Component Analysis explained visuallyhttps://setosa.io/ev/principal-component-analysis/
Eigenvectors and Eigenvalues explained visuallyhttps://setosa.io/ev/eigenvectors-and-eigenvalues/
Lesson 12: Factor Analysis | STAT 505https://online.stat.psu.edu/stat505/lesson/12
https://patch-diff.githubusercontent.com/benthecoder/til#day-58-27-oct-2022
10 Programming Lessons From the Past • Garth Gilmour & Eamonn Boylehttps://www.youtube.com/watch?v=IlDIV5gaTP0&t=1463s
The Art of Visualising Software Architecture - YouTubehttps://www.youtube.com/watch?v=zcmU-OE452k
Testing quadranthttps://medium.com/yoursproductly/61-why-pms-must-understand-the-agile-testing-quadrants-to-help-plan-their-product-qa-efforts-710ba6356002
https://patch-diff.githubusercontent.com/benthecoder/til#day-59-28-oct-2022
LEARN, EARN or QUIT | My job/career advice for 2022 | Garry Tan's Founders Journey Ep. 4 - YouTubehttps://www.youtube.com/watch?v=eLelgy5zRv4&t=557s
https://patch-diff.githubusercontent.com/benthecoder/til#day-60-29-oct-2022
Grokking Stable Diffusion.ipynb - Colaboratoryhttps://colab.research.google.com/drive/1dlgggNa5Mz8sEAGU0wFCHhGLFooW_pf1?usp=sharing
solegalli/DataTalks.Club2022https://github.com/solegalli/DataTalks.Club2022
Feature-engine — 1.3.0https://feature-engine.readthedocs.io/en/1.3.x/index.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-61-30-oct-2022
Python Virtual Environment & Packaging Workflow | Peter Baumgartnerhttps://www.peterbaumgartner.com/blog/python-virtual-environment-package-workflow/
50 Useful Vim Commands - VimTrickshttps://vimtricks.com/p/50-useful-vim-commands/
Can a new form of cryptography solve the internet’s privacy problem? | Data protection | The Guardianhttps://www.theguardian.com/technology/2022/oct/29/privacy-problem-tech-enhancing-data-political-legal
https://patch-diff.githubusercontent.com/benthecoder/til#day-62-31-oct-2022
14.3 - The Split-Plot Designs | STAT 503https://online.stat.psu.edu/stat503/lesson/14/14.3
https://patch-diff.githubusercontent.com/benthecoder/til#day-63-1-nov-2022
5.3.3. How do you select an experimental design?https://www.itl.nist.gov/div898/handbook/pri/section3/pri33.htm
Design of Experimentshttps://online.stat.psu.edu/stat503/
CRAN Task View: Design of Experiments (DoE) & Analysis of Experimental Datahttps://cran.r-project.org/web/views/ExperimentalDesign.html
Experimental Design and Analysishttps://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf
Design and Analysis of Experiments with Rhttp://www.ru.ac.bd/stat/wp-content/uploads/sites/25/2019/03/502_07_00_Lawson_Design-and-Analysis-of-Experiments-with-R-2017.pdf
Design of Experiments | Courserahttps://www.coursera.org/specializations/design-experiments
https://patch-diff.githubusercontent.com/benthecoder/til#day-64-2-nov-2022
13.4 - Finding Expected Mean Squares | STAT 503https://online.stat.psu.edu/stat503/lesson/13/13.4
Applied Statistics: STAT 500 noteshttps://online.stat.psu.edu/stat500/
1.2 - The Basic Principles of DOE | STAT 503https://online.stat.psu.edu/stat503/lesson/1/1.2
https://patch-diff.githubusercontent.com/benthecoder/til#day-65-3-nov-2022
notes-on-writing/notes_on_writing.mdhttps://github.com/mnielsen/notes-on-writing/blob/master/notes_on_writing.md
Multidimensional Scalinghttps://towardsdatascience.com/multidimensional-scaling-d84c2a998f72
7.1.3 - Hotelling’s T-Square | STAT 505https://online.stat.psu.edu/stat505/lesson/7/7.1/7.1.3
https://patch-diff.githubusercontent.com/benthecoder/til#day-66-4-nov-2022
North America Connect 2022https://rsvp.withgoogle.com/events/na-connect-2022
Machine Learning Explainability Workshop I Stanford - YouTubehttps://www.youtube.com/playlist?list=PLoROMvodv4rPh6wa6PGcHH6vMG9sEIPxL
https://patch-diff.githubusercontent.com/benthecoder/til#day-67-5-nov-2022
https://patch-diff.githubusercontent.com/benthecoder/til#day-68-6-nov-2022
Forecasting something that never happened: how we estimated past promotions profitabilityhttps://medium.com/artefact-engineering-and-data-science/forecasting-something-that-never-happened-how-we-estimated-past-promotions-profitability-5f55cfa1d477
A Parquet file is all you need | Towards Data Sciencehttps://towardsdatascience.com/a-parquet-file-is-all-you-need-962df86886bb
https://patch-diff.githubusercontent.com/benthecoder/til#day-69-7-nov-2022
Ahead of AI #2: Transformers, Fast and Slow | Revuehttps://newsletter.sebastianraschka.com/issues/ahead-of-ai-2-transformers-fast-and-slow-1402662
koaning/embetter: just a bunch of useful embeddingshttps://github.com/koaning/embetter?utm_campaign=Ahead%20of%20AI&utm_medium=email&utm_source=Revue%20newsletter
[2210.06280] Language Models are Realistic Tabular Data Generatorshttps://arxiv.org/abs/2210.06280?utm_campaign=Ahead%20of%20AI&utm_medium=email&utm_source=Revue%20newsletter
A Short Chronology Of Deep Learning For Tabular Datahttps://sebastianraschka.com/blog/2022/deep-learning-for-tabular-data.html?utm_campaign=Ahead%20of%20AI&utm_medium=email&utm_source=Revue%20newsletter
https://patch-diff.githubusercontent.com/benthecoder/til#day-70-8-nov-2022
Lesson12_MultRegressionhttps://www.colorado.edu/amath/sites/default/files/attached-files/lesson12_multregression.pdf
10.8 - Reducing Data-based Multicollinearity | STAT 462https://online.stat.psu.edu/stat462/node/181/
https://patch-diff.githubusercontent.com/benthecoder/til#day-71-9-nov-2022
No Language Left Behindhttps://ai.facebook.com/blog/nllb-200-high-quality-machine-translation/?utm_campaign=Ahead%20of%20AI&utm_medium=email&utm_source=Revue%20newsletter
ESM Metagenomic Atlashttps://esmatlas.com/explore?at=1%2C1%2C21.999999344348925
Attention Is All You Needhttps://www.explainpaper.com/papers/attention
[2210.11610] Large Language Models Can Self-Improvehttps://arxiv.org/abs/2210.11610
amazon-science/mintaka: Dataset from the paper "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering" (COLING 2022)https://github.com/amazon-science/mintaka
[2211.02001] Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Modelhttps://arxiv.org/abs/2211.02001
Introduction to Deep Learninghttps://sebastianraschka.com/blog/2021/dl-course.html
(1) 2022.02 Transformers - Lucas Beyershttps://www.youtube.com/watch?v=UpfcyzoZ644
karpathy/minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) traininghttps://github.com/karpathy/minGPT
https://patch-diff.githubusercontent.com/benthecoder/til#day-72-nov-10-2022
www.website.comhttp://www.website.com
Tricks and Tools From NLP-Land? - Vincent D. Warmerdam | Munich NLP Hands-on 008 - YouTubehttps://www.youtube.com/watch?v=sjiASMMbHao
koaning/embetter: just a bunch of useful embeddingshttps://github.com/koaning/embetter
partial_fit: Introductionhttps://calmcode.io/partial_fit/introduction.html
Compact word vectors with Bloom embeddings · Explosionhttps://explosion.ai/blog/bloom-embeddings
MaartenGr/BERTopichttps://github.com/MaartenGr/BERTopic
koaning/bulk: A Simple Bulk Labelling Toolhttps://github.com/koaning/bulk
PinSage: A new graph convolutional neural network for web-scale recommender systemshttps://medium.com/pinterest-engineering/pinsage-a-new-graph-convolutional-neural-network-for-web-scale-recommender-systems-88795a107f48
https://patch-diff.githubusercontent.com/benthecoder/til#day-73-nov-11-2022
Aaron Richter- Parallel Processing in Python| PyData Global 2020 - YouTubehttps://www.youtube.com/watch?v=eJyjB3cNIB0
Ray: A Framework for Scaling and Distributing Python & ML Applications - YouTubehttps://www.youtube.com/watch?v=LmROEotKhJA
Introduction to Distributed Computing with the Ray Framework - YouTubehttps://www.youtube.com/watch?v=cEF3ok1mSo0
Peter Baumgartner: Applied NLP: Lessons from the Field (spaCy IRL 2019) - YouTubehttps://www.youtube.com/watch?v=QRGMJWwOU94
https://patch-diff.githubusercontent.com/benthecoder/til#day-74-nov-12-2022
1706.05098.pdfhttps://arxiv.org/pdf/1706.05098.pdf
Recommending What Video to Watch Next: A Multitask Ranking Systemhttps://daiwk.github.io/assets/youtube-multitask.pdf
Cross-Batch Negative Sampling for Training Two-Tower Recommendershttps://arxiv.org/pdf/2110.15154.pdf
All Words - Machine Learning Glossaryhttps://machinelearning.wtf/all/
https://patch-diff.githubusercontent.com/benthecoder/til#day-75-nov-13-2022
What Does Databricks Do?https://interconnected.blog/what-does-databricks-do/
A Random Mixbag Statistical Methodshttps://medium.com/@m.sugang/a-random-mixbag-statistical-methods-74fbbfe8c3ac
What I’ve Learned as a Data Scientist | by Gang Su | Mediumhttps://medium.com/@m.sugang/what-ive-learned-as-a-data-scientist-edb998ac11ec
https://patch-diff.githubusercontent.com/benthecoder/til#day-76-nov-14-2022
Hypothesishttps://hypothesis.readthedocs.io/en/latest/
panderahttps://pandera.readthedocs.io/en/stable/
great expectationshttps://greatexpectations.io/
Ways I Use Testing as a Data Scientist | Peter Baumgartnerhttps://www.peterbaumgartner.com/blog/testing-for-data-science/?s=08
Arrange-Act-Assert: A Pattern for Writing Good Tests | Automation Pandahttps://automationpanda.com/2020/07/07/arrange-act-assert-a-pattern-for-writing-good-tests/
Ranking YC Companies with a Neural Net | Eric Janghttps://evjang.com/2022/04/02/yc-rank.html
Building a compelling Data Science Portfolio with writing – Weights & Biaseshttps://wandb.ai/parul_pandey/discussions/Building-a-compelling-Data-Science-Portfolio-with-writing--Vmlldzo4MTA4OTE
https://patch-diff.githubusercontent.com/benthecoder/til#day-77-nov-15-2022
Using functional analysis to model air pollution data in R | Nicola Renniehttps://nrennie.rbind.io/blog/2022-11-14-using-functional-analysis-to-model-air-pollution-data-in-r/
https://patch-diff.githubusercontent.com/benthecoder/til#day-78-nov-16-2022
rasbt/mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.https://github.com/rasbt/mlxtend
How Exactly UMAP Works. And why exactly it is better than tSNE | by Nikolay Oskolkov | Towards Data Sciencehttps://towardsdatascience.com/how-exactly-umap-works-13e3040e1668
UMAP paperhttps://arxiv.org/pdf/1802.03426.pdf
https://patch-diff.githubusercontent.com/benthecoder/til#day-79-nov-17-2022
How to Get and Evaluate Startup Ideas | Startup Schoolhttps://youtu.be/Th8JoIan4dg
https://patch-diff.githubusercontent.com/benthecoder/til#day-80-nov-18-2022
How Federated Learning Protects Privacyhttps://pair.withgoogle.com/explorables/federated-learning/
Diffie–Hellman key exchange - Wikipediahttps://en.wikipedia.org/wiki/Diffie%E2%80%93Hellman_key_exchange
Differential privacy in (a bit) more detail - Ted is writing thingshttps://desfontain.es/privacy/differential-privacy-in-more-detail.html
Can a Model Be Differentially Private and Fair?https://pair.withgoogle.com/explorables/private-and-fair/#:~:text=%E2%9A%AC%20Adding%20random%20noise%20to%20the%20gradient.
TensorFlow Federatedhttps://www.tensorflow.org/federated
TensorFlow Federated Tutorial Session - YouTubehttps://www.youtube.com/watch?v=JBNas6Yd30A
Hidden Technical Debt in Machine Learning Systemshttps://proceedings.neurips.cc/paper/2015/file/86df7dcfd896fcaf2674f757a2463eba-Paper.pdf
https://patch-diff.githubusercontent.com/benthecoder/til#day-81-nov-19-2022
All Roads Lead to Rome: The Machine Learning Job Market in 2022 | Eric Janghttps://evjang.com/2022/04/25/rome.html
Russell Kaplan on Twitter: "Second order effects of the rise of large language models:" / Twitterhttps://twitter.com/russelljkaplan/status/1513128005828165634?s=20&t=QePcsbrR-QVHtegU-3KvrQ
Reality has a surprising amount of detailhttp://johnsalvatier.org/blog/2017/reality-has-a-surprising-amount-of-detail
Timing Technology: Lessons From The Media Lab · Gwern.nethttps://www.gwern.net/Timing
https://patch-diff.githubusercontent.com/benthecoder/til#day-82-nov-20-2022
Hallucinations re: the rendering of Cyberpunk 2077https://c0de517e.blogspot.com/search/label/Rendering%20tutorials
https://patch-diff.githubusercontent.com/benthecoder/til#day-83-nov-21-2022
super, Python's most misunderstood feature. - YouTubehttps://www.youtube.com/watch?v=X1PQ7zzltz
4 things all great listeners know - YouTubehttps://www.youtube.com/watch?v=i3ku5nx4tMU
https://patch-diff.githubusercontent.com/benthecoder/til#day-84-nov-22-2022
Anatomy of a Production App - System Design - YouTubehttps://www.youtube.com/watch?v=akXP6pC0piE&list=WL&index=7
How I learn machine learninghttps://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/
Landscape of Vector Databases - Dmitry Kan - Mediumhttps://dmitry-kan.medium.com/landscape-of-vector-databases-d241b279f486
MLOps Is a Mess But That's to be Expected - Mihail Erichttps://www.mihaileric.com/posts/mlops-is-a-mess/
Thoughts on ML Engineering After a Year of my PhD | Shreya Shankarhttps://www.shreyashankar.com/phd-year-one/
Machine Learning: The High Interest Credit Card of Technical Debt – Google Researchhttps://research.google/pubs/pub43146/
Harvard CS197: AI Research Experienceshttps://www.cs197.seas.harvard.edu/
My Philosophy on Alerting - Google Docshttps://docs.google.com/document/d/199PqyG3UsyXlwieHaqbGiWVa8eMWi8zzAn0YfcApr8Q/edit
https://patch-diff.githubusercontent.com/benthecoder/til#day-85-nov-23-2022
Visualizing DBSCAN Clusteringhttps://www.naftaliharris.com/blog/visualizing-dbscan-clustering/
Tracking down the Villains: Outlier Detection at Netflix | by Netflix Technology Blog | Netflix TechBloghttps://netflixtechblog.com/tracking-down-the-villains-outlier-detection-at-netflix-40360b31732
The Single Most Useful Decorator in Python - YouTubehttps://www.youtube.com/watch?v=DnKxKFXB4NQ
Principal Component Analysis – Math ∩ Programminghttps://jeremykun.com/2012/06/28/principal-component-analysis/
PCA, visualized for human beings | casey.lihttps://casey.li/pca/
https://patch-diff.githubusercontent.com/benthecoder/til#day-86-nov-24-2022
snakevizhttps://jiffyclub.github.io/snakeviz/
Diagnose slow Python code. (Feat. async/await) - YouTubehttps://www.youtube.com/watch?v=m_a0fN48Alw
jiffyclub/snakeviz: An in-browser Python profile viewerhttps://github.com/jiffyclub/snakeviz/
The Python Profilers — Python 3.11.0 documentationhttps://docs.python.org/3/library/profile.html
pyutils/line_profiler: Line-by-line profiling for Pythonhttps://github.com/pyutils/line_profiler
https://patch-diff.githubusercontent.com/benthecoder/til#day-87-nov-25-2022
Unlocking your CPU cores in Python (multiprocessing) - YouTubehttps://www.youtube.com/watch?v=X7vBbelRXn0
Python Multiprocessing: The Complete Guidehttps://superfastpython.com/multiprocessing-in-python/
multiprocessing — Process-based parallelism — Python 3.11.0 documentationhttps://docs.python.org/3/library/multiprocessing.html
concurrent.futures — Launching parallel tasks — Python 3.11.0 documentationhttps://docs.python.org/3/library/concurrent.futures.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-88-nov-26-2022
How to speak so that people want to listenhttps://www.youtube.com/watch?v=eIho2S0ZahI
25 nooby Python habits you need to ditch - YouTubehttps://www.youtube.com/watch?v=qUeud6DvOWI
Logging in Python – Real Pythonhttps://realpython.com/python-logging/
The subprocess Module: Wrapping Programs With Python – Real Pythonhttps://realpython.com/python-subprocess/
https://patch-diff.githubusercontent.com/benthecoder/til#day-89-nov-27-2022
Graph Neural Networks: A gentle introductionhttps://www.youtube.com/watch?v=xFMhLp52qKI&t=6
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A Gentle Introduction to Graph Neural Networkshttps://distill.pub/2021/gnn-intro/
Understanding Convolutions on Graphshttps://distill.pub/2021/understanding-gnns/
Graph Neural Networkshttps://www.youtube.com/playlist?list=PLV8yxwGOxvvoNkzPfCx2i8an--Tkt7O8Z
Intro to graph neural networks (ML Tech Talks)https://www.youtube.com/watch?v=8owQBFAHw7E
Graph Neural Nets | AI Epiphanyhttps://www.youtube.com/playlist?list=PLBoQnSflObckArGNhOcNg7lQG_f0ZlHF5
https://patch-diff.githubusercontent.com/benthecoder/til#day-90-nov-28-2022
Python Generatorshttps://www.youtube.com/watch?v=tmeKsb2Fras&t=737s
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How to Use Generators and yield in Python – Real Pythonhttps://realpython.com/introduction-to-python-generators/
https://patch-diff.githubusercontent.com/benthecoder/til#day-91-nov-30-2022
Oh Shit, Git!?!https://ohshitgit.com/
SQL Indexing and Tuning e-Book for developers: Use The Index, Luke covers Oracle, MySQL, PostgreSQL, SQL Server, ...https://use-the-index-luke.com/
https://patch-diff.githubusercontent.com/benthecoder/til#day-92-nov-30-2022
Better article recommendations with triplet fine-tuninghttps://medium.com/s%C3%BCddeutsche-zeitung-digitale-medien/better-article-recommendations-with-triplet-fine-tuning-6b52a587b85f
NLP: Everything about Embeddings. Numerical representations are a… | by Mohammed Terry-Jack | Mediumhttps://medium.com/@b.terryjack/nlp-everything-about-word-embeddings-9ea21f51ccfe
The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time.https://jalammar.github.io/illustrated-word2vec/
Embedding projector - visualization of high-dimensional datahttp://projector.tensorflow.org/
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Adding Custom Layers on Top of a Hugging Face Model | by Raj Sangani | Towards Data Sciencehttps://towardsdatascience.com/adding-custom-layers-on-top-of-a-hugging-face-model-f1ccdfc257bd
ENC2045 Computational Linguistics — ENC2045 Computational Linguisticshttps://alvinntnu.github.io/NTNU_ENC2045_LECTURES/intro.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-93-dec-1-2022
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https://patch-diff.githubusercontent.com/benthecoder/til#day-94-dec-2-2022
What Is A CDN? How Does It Work? - YouTubehttps://www.youtube.com/watch?v=RI9np1LWzqw
What is RPC? gRPC Introduction. - YouTubehttps://www.youtube.com/watch?v=gnchfOojMk4
https://patch-diff.githubusercontent.com/benthecoder/til#day-95-dec-3-2022
The Ultimate Guide to Writing Functions - YouTubehttps://www.youtube.com/watch?v=yatgY4NpZXE
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Python Protocolhttps://www.pythontutorial.net/python-oop/python-protocol/
https://patch-diff.githubusercontent.com/benthecoder/til#day-96-dec-4-2022
How To Use Docker To Make Local Development A Breeze - YouTubehttps://www.youtube.com/watch?v=zkMRWDQV4Tg
https://patch-diff.githubusercontent.com/benthecoder/til#day-97-dec-5-2022
System Design: How to store passwords in the database? - YouTubehttps://youtu.be/zt8Cocdy15c
Hashing in Action: Understanding bcrypthttps://auth0.com/blog/hashing-in-action-understanding-bcrypt/
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https://patch-diff.githubusercontent.com/benthecoder/til#day-98-dec-6-2022
Science-Based Tools for Increasing Happiness | Huberman Lab Podcast #98 - YouTubehttps://www.youtube.com/watch?v=LTGGyQS1fZE
Spending Money on Others Promotes Happiness | Sciencehttps://www.science.org/doi/10.1126/science.1150952
A Wandering Mind Is an Unhappy Mind | Sciencehttps://www.science.org/doi/10.1126/science.1192439
The Molecule of More: How a Single Chemical in Your Brain Drives Love, Sex, and Creativity—and Will Determine the Fate of the Human Race by Daniel Z. Liebermanhttps://www.goodreads.com/book/show/38728977-the-molecule-of-more
https://patch-diff.githubusercontent.com/benthecoder/til#day-99-dec-7-2022
System Design: Why is Kafka fast? - YouTubehttps://www.youtube.com/watch?v=UNUz1-msbOM
The Log: What every software engineer should know about real-time data's unifying abstraction | LinkedIn Engineeringhttps://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
Confluent Developer: Your Apache Kafka® Journey begins herehttps://developer.confluent.io/
Kafka as a Platform: the Ecosystem from the Ground Uphttps://talks.rmoff.net/8OCgKp/kafka-as-a-platform-the-ecosystem-from-the-ground-up
aiven/python-notebooks-for-apache-kafka: A Series of Notebooks on how to start with Kafka and Pythonhttps://github.com/aiven/python-notebooks-for-apache-kafka
https://patch-diff.githubusercontent.com/benthecoder/til#day-100-dec-8-2022
The science of falling in love - Shannon Odell - YouTubehttps://www.youtube.com/watch?v=f_OPjYQovAE
The Anatomy Of Lovehttps://theanatomyoflove.com/
Love, Actually: The science behind lust, attraction, and companionship - Science in the Newshttps://sitn.hms.harvard.edu/flash/2017/love-actually-science-behind-lust-attraction-companionship/
https://patch-diff.githubusercontent.com/benthecoder/til#day-101-dec-9-2022
Rust for the impatient (Learn Rust in 10 minutes) [RUST-4] - YouTubehttps://www.youtube.com/watch?v=br3GIIQeefY&list=PLZaoyhMXgBzoM9bfb5pyUOT3zjnaDdSEP&index=6
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Rust By Examplehttps://doc.rust-lang.org/rust-by-example/index.html
Rust Application Books - The Little Book of Rust Bookshttps://lborb.github.io/book/applications.html
rust-lang/rustlings: Small exercises to get you used to reading and writing Rust code!https://github.com/rust-lang/rustlings
Read Rusthttps://readrust.net/
This Week in Rusthttps://this-week-in-rust.org/
https://patch-diff.githubusercontent.com/benthecoder/til#day-102-dec-10-2022
This Is How To Have A Long Awesome Life - Barking Up The Wrong Treehttps://bakadesuyo.com/2022/10/nutrition/
Seven Countries Study - Wikipediahttps://en.wikipedia.org/wiki/Seven_Countries_Study
https://patch-diff.githubusercontent.com/benthecoder/til#day-103-dec-11-2022
Habits: How to be successful every day | Dan Ariely, Gretchen Rubin & morehttps://www.youtube.com/watch?v=Ogc8JUn-F5I
https://patch-diff.githubusercontent.com/benthecoder/til#day-104-dec-12-2022
40 Useful Concepts You Should Know - by Gurwinderhttps://gurwinder.substack.com/p/40-useful-concepts-you-should-know
https://patch-diff.githubusercontent.com/benthecoder/til#day-105-dec-13-2022
dbt data dochttps://docs.getdbt.com/docs/collaborate/documentation
dbt Data lineagehttps://docs.getdbt.com/terms/data-lineage
Becoming An Analytics Engineer in 2023: A Data Analyst Guidehttps://medium.com/@baluramachandra90/becoming-an-analytics-engineer-in-2023-a-data-analyst-guide-1faf6d1cc89c
What is Analytics Engineering?https://www.getdbt.com/what-is-analytics-engineering/
SQL Style Guide | GitLabhttps://about.gitlab.com/handbook/business-technology/data-team/platform/sql-style-guide/
Python Guide | GitLabhttps://about.gitlab.com/handbook/business-technology/data-team/platform/python-guide/
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition [Book]https://www.oreilly.com/library/view/the-data-warehouse/9781118530801/
Version control basics | dbt Developer Hubhttps://docs.getdbt.com/docs/collaborate/git/version-control-basics
Learn Analytics Engineering with dbt | dbt Learnhttps://courses.getdbt.com/collections
Template Designer Documentation (Macros and jinja)https://jinja.palletsprojects.com/en/3.1.x/templates/#list-of-control-structures
Data Testing: What and When to Testhttps://www.getdbt.com/analytics-engineering/transformation/data-testing/#why-is-testing-a-necessary-part-of-an-analytics-workflow
Learn Airflow with astronomerhttps://docs.astronomer.io/learn
https://patch-diff.githubusercontent.com/benthecoder/til#day-106-dec-14-2022
The CO2 Tolerance Test and Why You Should Be Working on Your Lungs - Crux Fitnesshttps://www.cruxfit.com/the-co2-tolerance-test-and-why-you-should-be-working-on-your-lungs/
Carbon Dioxide Tolerance Test (CO2TT) - Breathe Your Truthhttps://breatheyourtruth.com/carbon-dioxide-tolerance-test-co2tt/
https://patch-diff.githubusercontent.com/benthecoder/til#day-105-dec-15-2022
Intuitive Python: Productive Development for Projects that Last by David Mullerhttps://pragprog.com/titles/dmpython/intuitive-python/
https://patch-diff.githubusercontent.com/benthecoder/til#day-106-dec-16-2022
Process vs Thread | Popular Interview Question - YouTubehttps://www.youtube.com/watch?v=4rLW7zg21gI
Thread vs Process in Pythonhttps://superfastpython.com/thread-vs-process/
https://patch-diff.githubusercontent.com/benthecoder/til#day-107-dec-17-2022
Stop Overthinking: 23 Techniques to Relieve Stress, Stop Negative Spirals, Declutter Your Mind, and Focus on the Present by Nick Trentonhttps://www.goodreads.com/en/book/show/57280624-stop-overthinking
https://patch-diff.githubusercontent.com/benthecoder/til#day-108-dec-18-2022
Moonwalking with Einstein: The Art and Science of Remembering Everything by Joshua Foerhttps://www.goodreads.com/book/show/6346975-moonwalking-with-einstein
https://patch-diff.githubusercontent.com/benthecoder/til#day-109-dec-19-2022
Julia MacDonald on Twitter: "McKinsey is paid to solve complex problems. They created a process that helps find solutions: The Hypothesis-Driven Framework. Let’s dive in.👇" / Twitterhttps://twitter.com/julia_m_mac/status/1603727231116890118?s=20&t=8FP0B9c6TZGMQ5WM4K0urw
https://patch-diff.githubusercontent.com/benthecoder/til#day-120-dec-20-2022
The 80/20 Principle: The Secret to Achieving More with Less by Richard Kochhttps://www.goodreads.com/book/show/181206.The_80_20_Principle
https://patch-diff.githubusercontent.com/benthecoder/til#day-121-dec-21-2022
Make Your Bed: Little Things That Can Change Your Life...And Maybe the World by William H. McRavenhttps://www.goodreads.com/book/show/31423133-make-your-bed
https://patch-diff.githubusercontent.com/benthecoder/til#day-122-dec-22-2022
The best way to apologize (according to science) - YouTubehttps://www.youtube.com/watch?v=q-ApAdEOm5s
https://patch-diff.githubusercontent.com/benthecoder/til#day-123-dec-23-2022
On Writing: A Memoir of the Craft by Stephen Kinghttps://www.goodreads.com/book/show/10569.On_Writing
Summary & Noteshttps://www.grahammann.net/book-notes/on-writing-well-william-zinsser
https://patch-diff.githubusercontent.com/benthecoder/til#day-124-dec-24-2022
Crafting To-Do Lists That Spark Productivity and Joyhttps://hulry.com/productive-to-do-list/
How I Finally Made Sense of Todoist’s Priority Levelshttps://hulry.com/todoist-priority-levels-moscow/
https://patch-diff.githubusercontent.com/benthecoder/til#day-125-dec-25-2022
What's next for AI | MIT Technology Reviewhttps://www.technologyreview.com/2022/12/23/1065852/whats-next-for-ai/
https://patch-diff.githubusercontent.com/benthecoder/til#day-126-dec-26-2022
Vint Cerf Helped Create the Internet on the Back of an Envelope - WSJhttps://archive.ph/k1j4H
https://patch-diff.githubusercontent.com/benthecoder/til#day-127-dec-27-2022
Functional Programming Principles in Scala noteshttps://ivy-zhou.github.io/notes/2020/09/02/progfun.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-128-dec-28-2022
valeman/awesome-conformal-prediction: A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.https://github.com/valeman/awesome-conformal-prediction
awslabs/fortuna: A Library for Uncertainty Quantification.https://github.com/awslabs/fortuna
Week #1: Getting Started With Conformal Prediction For Classificationhttps://mindfulmodeler.substack.com/p/week-1-getting-started-with-conformal
Week #2: Intuition Behind Conformal Predictionhttps://mindfulmodeler.substack.com/p/week-2-intuition-behind-conformal
A Gentle Introduction to Conformal Predictionhttps://arxiv.org/pdf/2107.07511.pdf
https://patch-diff.githubusercontent.com/benthecoder/til#day-129-dec-29-2022
GFNOrg/gflownet: Generative Flow Networkshttps://github.com/GFNOrg/gflownet
The What, Why and How of Generative Flow Networks | by Matt Biggs | Towards Data Sciencehttps://towardsdatascience.com/the-what-why-and-how-of-generative-flow-networks-4fb3cd309af0
Generative Flow Networks - Yoshua Bengiohttps://yoshuabengio.org/2022/03/05/generative-flow-networks/
https://patch-diff.githubusercontent.com/benthecoder/til#day-130-dec-30-2022
MyLifeBits - Microsoft Researchhttps://www.microsoft.com/en-us/research/project/mylifebits/
Memex - Wikipediahttps://en.wikipedia.org/wiki/Memex
https://patch-diff.githubusercontent.com/benthecoder/til#day-131-dec-31-2022
Active Learning, part 1: the Theoryhttps://blog.scaleway.com/active-learning-some-datapoints-are-more-equal-than-others/
google/active-learninghttps://github.com/google/active-learning
baifanxxx/awesome-active-learning: A curated list of awesome Active Learninghttps://github.com/baifanxxx/awesome-active-learning
rmunro/pytorch_active_learning: PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning bookhttps://github.com/rmunro/pytorch_active_learning
[1702.07956] Generative Adversarial Active Learninghttps://arxiv.org/abs/1702.07956
https://patch-diff.githubusercontent.com/benthecoder/til#day-132-jan-1-2023
22 Problems Solved in 2022 - YouTubehttps://www.youtube.com/watch?v=c3dDagZMALQ&t=89s
https://patch-diff.githubusercontent.com/benthecoder/til#day-133-jan-2-2023
Conversation Skills Essentials – Tynan.comhttps://tynan.com/letstalk/
Creating Emotional Connection Handouts.pdfhttps://caps.unl.edu/Creating%20Emotional%20Connection%20Handouts.pdf
A low-risk technique for gaining intimacy with people - YouTubehttps://www.youtube.com/watch?v=WyKFHd7cSaU&t=108s
https://patch-diff.githubusercontent.com/benthecoder/til#day-134-jan-3-2023
Ahead of AI #4: A Big Year For AI - by Sebastian Raschkahttps://magazine.sebastianraschka.com/p/ahead-of-ai-4-a-big-year-for-ai
[2201.03545] A ConvNet for the 2020shttps://arxiv.org/abs/2201.03545
[2204.01697] MaxViT: Multi-Axis Vision Transformerhttps://arxiv.org/abs/2204.01697
[2112.10752] High-Resolution Image Synthesis with Latent Diffusion Modelshttps://arxiv.org/abs/2112.10752
[2205.06175] A Generalist Agenthttps://arxiv.org/abs/2205.06175
[2203.15556] Training Compute-Optimal Large Language Modelshttps://arxiv.org/abs/2203.15556
[2204.02311] PaLM: Scaling Language Modeling with Pathwayshttps://arxiv.org/abs/2204.02311
[2212.04356] Robust Speech Recognition via Large-Scale Weak Supervisionhttps://arxiv.org/abs/2212.04356
[2207.03208] Revisiting Pretraining Objectives for Tabular Deep Learninghttps://arxiv.org/abs/2207.03208
[2207.08815] Why do tree-based models still outperform deep learning on tabular data?https://arxiv.org/abs/2207.08815
Evolutionary-scale prediction of atomic level protein structure with a language model | bioRxivhttps://www.biorxiv.org/content/10.1101/2022.07.20.500902v3
https://patch-diff.githubusercontent.com/benthecoder/til#day-135-jan-4-2023
5 Mindsets to be Confident & Well-Liked - YouTubehttps://www.youtube.com/watch?v=4P9Qp2Q3mLo
How to attract the right people by working on yourself - YouTubehttps://www.youtube.com/watch?v=Mj9J_zsYvtE
https://patch-diff.githubusercontent.com/benthecoder/til#day-136-jan-5-2023
Visualization of tensors - part 1 - YouTubehttps://www.youtube.com/watch?v=YxXyN2ifK8A
Tensors for Neural Networks, Clearly Explained!!! - YouTubehttps://www.youtube.com/watch?v=L35fFDpwIM4
Multi-Dimensional Data (as used in Tensors) - Computerphile - YouTubehttps://www.youtube.com/watch?v=DfK83xEtJ_k
Introduction to PyTorch Tensors — PyTorch Tutorials 1.13.1+cu117 documentationhttps://pytorch.org/tutorials/beginner/introyt/tensors_deeper_tutorial.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-137-jan-6-2023
Fastbook Chapter 1 questionnaire solutions (wiki) - Part 1 (2020) - fast.ai Course Forumshttps://forums.fast.ai/t/fastbook-chapter-1-questionnaire-solutions-wiki/65647
1. Your Deep Learning Journey - Deep Learning for Coders with fastai and PyTorch [Book]https://www.oreilly.com/library/view/deep-learning-for/9781492045519/ch01.html
fastbook/01_intro.ipynb at master · fastai/fastbookhttps://github.com/fastai/fastbook/blob/master/01_intro.ipynb
https://patch-diff.githubusercontent.com/benthecoder/til#day-138-jan-7-2023
2. From Model to Production | Deep Learning for Coders with fastai and PyTorchhttps://learning.oreilly.com/library/view/deep-learning-for/9781492045519/ch02.html#idm46668598893488
https://patch-diff.githubusercontent.com/benthecoder/til#day-139-jan-8-2023
is it a bird or a planehttps://www.kaggle.com/code/benthecoder/is-it-a-bird-or-a-plane
https://patch-diff.githubusercontent.com/benthecoder/til#day-140-jan-9-2023
ChatGPT to 10x SEOhttps://twitter.com/barrettjoneill/status/1610629309236150272?s=48&t=j92cl6mXt2Vb2cVtBOBo2w
f/awesome-chatgpt-prompts: This repo includes ChatGPT promt curation to use ChatGPT better.https://github.com/f/awesome-chatgpt-prompts
Why SEO Pros Need To Master Prompts: The ChatGPT Revolutionhttps://www.searchenginejournal.com/why-seo-pros-need-to-master-prompts-the-chatgpt-revolution/473780/#close
https://patch-diff.githubusercontent.com/benthecoder/til#day-141-jan-10-2023
Extreme questions to trigger new, better ideas | A Smart Bear: Longformhttps://longform.asmartbear.com/posts/extreme-questions/
https://patch-diff.githubusercontent.com/benthecoder/til#day-142-jan-11-2023
The Daily Habits of Happiness Experts | TIMEhttps://time.com/6241099/daily-habits-happiness-experts/
The Happiness Revival Guide | TIMEhttps://time.com/collection/happiness-revival-guide/
The Computer Science Book: a complete introduction to computer science in one bookhttps://thecomputersciencebook.com/
https://patch-diff.githubusercontent.com/benthecoder/til#day-143-jan-12-2023
Context switching: Why jumping between tasks is killing your productivityhttps://blog.rescuetime.com/context-switching/
https://patch-diff.githubusercontent.com/benthecoder/til#day-144-jan-13-2023
How to Make the Most of Your 24 Hours - zen habits zen habitshttps://zenhabits.net/transcendent/
https://patch-diff.githubusercontent.com/benthecoder/til#day-145-jan-14-2023
paperhttps://www.cs.toronto.edu/~hinton/FFA13.pdf
implementationhttps://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/forward_forward
pytorch implementationhttps://github.com/mohammadpz/pytorch_forward_forward
twitter threadhttps://twitter.com/diegofiori_/status/1605242573311709184
https://patch-diff.githubusercontent.com/benthecoder/til#day-146-jan-15-2023
GitHubhttps://github.com/pola-rs/polars
Introduction - Polarshttps://pola-rs.github.io/polars-book/user-guide/
Modern Polarshttps://kevinheavey.github.io/modern-polars/?ref=blef-fr
Polars: Blazingly Fast DataFrames in Rust and Python - YouTubehttps://www.youtube.com/watch?v=kVy3-gMdViM
Calmcode - polars: Introductionhttps://calmcode.io/polars/introduction.html
I wrote one of the fastest DataFrame libraries | Ritchie Vinkhttps://www.ritchievink.com/blog/2021/02/28/i-wrote-one-of-the-fastest-dataframe-libraries/
https://patch-diff.githubusercontent.com/benthecoder/til#day-147-jan-16-2023
Four Thousand Weekshttps://leebyron.com/4000/
https://patch-diff.githubusercontent.com/benthecoder/til#day-148-jan-17-2023
What I've learned from interviewing more than 300 Data Scientistshttps://medium.com/@martinleitner_33020/what-ive-learned-from-interviewing-more-than-300-data-scientists-dc5426a6df9d
What skill is a significant differentiator for a Data Scientist?https://medium.com/@martinleitner_33020/what-skill-is-a-significant-differentiator-for-a-data-scientist-d0a4af725a86
https://patch-diff.githubusercontent.com/benthecoder/til#day-149-jan-18-2023
The Neuroscience of Achieving Your Goals - Superorganizers - Everyhttps://every.to/superorganizers/the-neuroscience-of-achieving-your-goals
https://patch-diff.githubusercontent.com/benthecoder/til#day-150-jan-19-2023
Lessons from six years of blogginghttps://ljvmiranda921.github.io/life/2023/01/07/six-years/
Blogpost Annealinghttps://www.swyx.io/blogpost-annealing
https://patch-diff.githubusercontent.com/benthecoder/til#day-151-jan-20-2023
understanding - nabeelquhttps://nabeelqu.co/understanding
Noticing Confusion - Sequencehttps://www.readthesequences.com/Noticing-Confusion-Sequence
https://patch-diff.githubusercontent.com/benthecoder/til#day-152-jan-21-2023
OpenAI tokenizer pagehttps://beta.openai.com/tokenizer
transformers.GPT2TokenizerFasthttps://huggingface.co/docs/transformers/model_doc/gpt2#transformers.GPT2TokenizerFast
Pineconehttps://www.pinecone.io/
Weaviatehttps://weaviate.io/
Faisshttps://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/
amazon food reviewshttps://github.com/openai/openai-cookbook/blob/main/examples/Obtain_dataset.ipynb
visualize embeddings 2dhttps://github.com/openai/openai-cookbook/blob/main/examples/Visualizing_embeddings_in_2D.ipynb
regressionhttps://github.com/openai/openai-cookbook/blob/main/examples/Regression_using_embeddings.ipynb
classificationhttps://github.com/openai/openai-cookbook/blob/main/examples/Classification_using_embeddings.ipynb
zero shot classificationhttps://github.com/openai/openai-cookbook/blob/main/examples/Zero-shot_classification_with_embeddings.ipynb
user and product embeddingshttps://github.com/openai/openai-cookbook/blob/main/examples/User_and_product_embeddings.ipynb
clusteringhttps://github.com/openai/openai-cookbook/blob/main/examples/Clustering.ipynb
semantic text searchhttps://github.com/openai/openai-cookbook/blob/main/examples/Semantic_text_search_using_embeddings.ipynb
code searchhttps://github.com/openai/openai-cookbook/blob/main/examples/Code_search.ipynb
recommendationshttps://github.com/openai/openai-cookbook/blob/main/examples/Recommendation_using_embeddings.ipynb
question answeringhttps://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
Introducing Text and Code Embeddingshttps://openai.com/blog/introducing-text-and-code-embeddings/
OpenAI API - exampleshttps://beta.openai.com/docs/guides/embeddings/what-are-embeddings
paperhttps://ar5iv.labs.arxiv.org/html/2201.10005
code exampleshttps://github.com/openai/openai-cookbook/tree/main/examples
namuan/dr-doc-search: Converse with book - Built with GPT-3https://github.com/namuan/dr-doc-search
hwchase17/langchain: ⚡ Building applications with LLMs through composability ⚡https://github.com/hwchase17/langchain
jerryjliu/gpt_index: An index created by GPT to organize external information and answer queries!https://github.com/jerryjliu/gpt_index
https://patch-diff.githubusercontent.com/benthecoder/til#day-153-jan-22-2023
websitehttps://pycaret.org/
docshttps://pycaret.gitbook.io/docs/
Tutorialshttps://pycaret.gitbook.io/docs/get-started/tutorials
githubhttps://github.com/pycaret/pycaret
https://patch-diff.githubusercontent.com/benthecoder/til#day-154-jan-23-2023
How to learn data engineeringhttps://www.blef.fr/learn-data-engineering/
Hadoop and Big Data - hadoophttps://jheck.gitbook.io/hadoop/
https://patch-diff.githubusercontent.com/benthecoder/til#day-155-jan-24-2023
probability - Normalizing constant in Bayes theorem - Cross Validatedhttps://stats.stackexchange.com/questions/12112/normalizing-constant-in-bayes-theorem
Bayes' Theoremhttps://chrispiech.github.io/probabilityForComputerScientists/en/part1/bayes_theorem/
https://patch-diff.githubusercontent.com/benthecoder/til#day-156-jan-25-2023
Regression: What’s it all about? [Bayesian and otherwise] | Statistical Modeling, Causal Inference, and Social Sciencehttps://statmodeling.stat.columbia.edu/2015/03/29/bayesian-frequentist-regression-methods/
Bayesian vs Frequentist A/B Testing (and Does it Even Matter?)https://cxl.com/blog/bayesian-frequentist-ab-testing/
Statistical Alignment: Bayesian or Frequentist? | Built Inhttps://builtin.com/data-science/frequentist-vs-bayesian
Bayesians are frequentists | Statistical Modeling, Causal Inference, and Social Sciencehttps://statmodeling.stat.columbia.edu/2018/06/17/bayesians-are-frequentists/
Bayes.ppthttps://www.cse.psu.edu/~rtc12/CSE586/lectures/BayesianEstimation.pdf
https://patch-diff.githubusercontent.com/benthecoder/til#day-156-jan-26-2023
Build your own AI writing assistant w/ GPT-3https://buildspace.so/builds/ai-writer
https://patch-diff.githubusercontent.com/benthecoder/til#day-157-jan-27-2023
Our Big Mac index shows how burger prices are changing | The Economisthttps://www.economist.com/big-mac-index?utm_source=chartr&utm_medium=newsletter&utm_campaign=chartr_20230127
https://patch-diff.githubusercontent.com/benthecoder/til#day-158-jan-28-2023
PostgreSQL: Documentation: 9.3: EXPLAINhttps://www.postgresql.org/docs/9.3/sql-explain.html
6 Key Concepts, to Master Window Functions · Start Data Engineeringhttps://www.startdataengineering.com/post/6-concepts-to-clearly-understand-window-functions/
https://patch-diff.githubusercontent.com/benthecoder/til#day-159-jan-29-2023
PostgreSQL: Documentation: 15: 9.9. Date/Time Functions and Operatorshttps://www.postgresql.org/docs/current/functions-datetime.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-160-jan-30-2023
Which black and white movies are absolutely worth watching? : AskReddithttps://www.reddit.com/r/AskReddit/comments/10opflg/which_black_and_white_movies_are_absolutely_worth/
https://patch-diff.githubusercontent.com/benthecoder/til#day-161-jan-31-2023
Search Controlhttps://www.cs.miami.edu/home/geoff/Courses/COMP6210-10M/Content/SearchControl.shtml
https://patch-diff.githubusercontent.com/benthecoder/til#day-162-feb-1-2023
scientism on Twitter: "The tech billionaire crowd represent a kind of 'trad capitalism' that valorizes the owner-manager. They imagine themselves like the great industrialists and oppose themselves to modern capital where owners are divorced from management by dozens of layers of financial abstraction." / Twitterhttps://twitter.com/mr_scientism/status/1519041920806395907
Experimentation Platform in a Day | by Dan Frank | Deliberate Data Science | Mediumhttps://medium.com/deliberate-data-science/experimentation-platform-in-a-day-c60646ef1a2
Data semantics: the missing layer of your data warehouse - Bloghttps://www.coinbase.com/blog/data-semantics-the-missing-layer-of-your-data-warehouse
What is a Semantic Layer?  - Datameerhttps://www.datameer.com/blog/what-is-a-semantic-layer/
Increasing the sensitivity of A/B tests by utilizing the variance estimates of experimental units - Meta Research | Meta Researchhttps://research.facebook.com/blog/2020/10/increasing-the-sensitivity-of-a-b-tests-by-utilizing-the-variance-estimates-of-experimental-units/
https://patch-diff.githubusercontent.com/benthecoder/til#day-163-feb-2-2023
A/B Testing in Data Science Interviews by a Google Data Scientist | DataInterview - YouTubehttps://www.youtube.com/watch?v=DUNk4GPZ9bw
https://patch-diff.githubusercontent.com/benthecoder/til#day-164-feb-3-2023
Python’s “Disappointing” Superpowers - lukeplant.me.ukhttps://lukeplant.me.uk/blog/posts/pythons-disappointing-superpowers/
Understanding all of Python, through its builtinshttps://sadh.life/post/builtins/
dair-ai/Transformers-Recipe: 🧠 A study guide to learn about Transformershttps://github.com/dair-ai/Transformers-Recipe
https://patch-diff.githubusercontent.com/benthecoder/til#day-165-feb-4-2023
8 Key Data Structures That Power Modern Databases - YouTubehttps://www.youtube.com/watch?v=W_v05d_2RTo
The Secret Sauce Behind NoSQL: LSM Tree - YouTubehttps://www.youtube.com/watch?v=I6jB0nM9SKU&t=0s
Database Internalshttps://www.databass.dev/
https://patch-diff.githubusercontent.com/benthecoder/til#day-166-feb-5-2023
Higher Rates Will Lead to the Next Generation of Great Tech Startupshttps://chamathreads.substack.com/p/higher-rates-will-lead-to-the-next
All-In with Chamath, Jason, Sacks & Friedberg - E114: Markets update: whipsaw macro picture, big tech, startup mass extinction event, VC reckoninghttps://podcasts.google.com/feed/aHR0cHM6Ly9hbGxpbmNoYW1hdGhqYXNvbi5saWJzeW4uY29tL3Jzcw/episode/MzQ0MTJhZWYtMWJmNC00Yjk0LWIxMDEtYTU0ODA2YzAxMmZk?hl=en&ved=2ahUKEwjzut2pm__8AhXxl4kEHWhaCAsQjrkEegQICBAF&ep=6
https://patch-diff.githubusercontent.com/benthecoder/til#day-167-feb-6-2023
Bayesian method (1). The prior distribution | by Xichu Zhang | Towards Data Sciencehttps://towardsdatascience.com/bayesian-method-1-1cbdb1e6b4
Chapter 9 Considering Prior Distributions | An Introduction to Bayesian Reasoning and Methodshttps://bookdown.org/kevin_davisross/bayesian-reasoning-and-methods/prior.html
How Should You Think About Your Priors for a Bayesian Analysis? | Steven V. Millerhttp://svmiller.com/blog/2021/02/thinking-about-your-priors-bayesian-analysis/
https://patch-diff.githubusercontent.com/benthecoder/til#day-168-feb-7-2023
The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.https://jalammar.github.io/illustrated-transformer/
The Transformer Family | Lil'Loghttps://lilianweng.github.io/posts/2020-04-07-the-transformer-family/
Transformer models: an introduction and catalog — 2023 Edition - AI, software, tech, and people, not in that order… by Xhttps://amatriain.net/blog/transformer-models-an-introduction-and-catalog-2d1e9039f376/
karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs.https://github.com/karpathy/nanoGPT
Introduction to Deep Learninghttps://sebastianraschka.com/blog/2021/dl-course.html#l19-self-attention-and-transformer-networks
Understanding Large Language Models -- A Transformative Reading Listhttps://sebastianraschka.com/blog/2023/llm-reading-list.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-167-feb-8-2023
Gaussian Processes: a versatile data science method that packs infinite dimensions – @aurimashttps://aurimas.eu/blog/2022/03/intro-to-gaussian-processes/
Implement A Gaussian Process From Scratch | by Shuai Guo | Towards Data Sciencehttps://towardsdatascience.com/implement-a-gaussian-process-from-scratch-2a074a470bce
Gaussian processes (1/3) - From scratchhttps://peterroelants.github.io/posts/gaussian-process-tutorial/
jwangjie/Gaussian-Processes-Regression-Tutorial: An Intuitive Tutorial to Gaussian Processes Regressionhttps://github.com/jwangjie/Gaussian-Processes-Regression-Tutorial
https://patch-diff.githubusercontent.com/benthecoder/til#day-168-feb-9-2023
Think Fast, Talk Smart: Communication Techniques - YouTubehttps://www.youtube.com/watch?v=HAnw168huqA
https://patch-diff.githubusercontent.com/benthecoder/til#day-169-feb-10-2023
📈 Stock Market Real-Time Data Analysis Using Kafka | End-To-End Data Engineering Project - YouTubehttps://www.youtube.com/watch?v=KerNf0NANMo
https://patch-diff.githubusercontent.com/benthecoder/til#day-170-feb-11-2023
Putting Ideas into Wordshttp://www.paulgraham.com/words.html
https://patch-diff.githubusercontent.com/benthecoder/til#day-171-feb-12-2023
Chaining in Pandas | //gardnmihttps://gardnmi.github.io/blog/jupyter/pandas/python/2021/08/22/chaining-in-pandas.html
Professional Pandas: The Pandas Assign Method and Chaininghttps://ponder.io/professional-pandas-the-pandas-assign-method-and-chaining/
https://patch-diff.githubusercontent.com/benthecoder/til#day-172-feb-13-2023
this summaryhttps://www.expatfinance.us/united-states/double-taxation
this summaryhttps://www.expatfinance.us/united-states/us-foreign-taxation
due to the EU MiFiD regulationhttps://www.expatfinance.us/united-states/us-foreign-taxation
Interactive Brokers Lite accounthttps://www.expatfinance.us/united-states/interactive-brokers-lite
transfer USD/EUR internationallyhttps://www.expatfinance.us/general/ibkr-money-transfers
this discussionhttps://www.expatfinance.us/united-states/us-foreign-taxation
here on reddithttps://www.reddit.com/r/ExpatFinance/comments/o2mzkv/not_bring_100_honest_about_a_us_address/
US-ETFs even come with a noticeable tax advantagehttps://www.expatfinance.us/germany/taxation-of-us-etfs
on reddithttps://www.reddit.com/r/Finanzen/comments/omqq78/fundierte_analyse_wie_man_13_deutsche_steuer_auf/
Which country should I open an investing account as an international in the US with an F1 visa? : eupersonalfinancehttps://www.reddit.com/r/eupersonalfinance/comments/po7imd/comment/j8f9eph/?context=3
https://patch-diff.githubusercontent.com/benthecoder/til#day-173-feb-14-2023
Job Search & Interview Cheatsheethttps://benthecoder.notion.site/Job-Search-Interview-Cheatsheet-709acbb9f1cc45e4bcfd2e77ec20f3b0
https://patch-diff.githubusercontent.com/benthecoder/til#day-174-feb-15-2023
dpkp/kafka-python: Python client for Apache Kafkahttps://github.com/dpkp/kafka-python
fsspec/s3fs: S3 Filesystemhttps://github.com/fsspec/s3fs
benthecoder/kafka-stock-markethttps://github.com/benthecoder/kafka-stock-market
https://patch-diff.githubusercontent.com/benthecoder/til#day-175-feb-16-2023
Uninstall Docker Compose | Docker Documentationhttps://docs.docker.com/compose/install/uninstall/
Docker desktop mac wont update docker compose - Stack Overflowhttps://stackoverflow.com/questions/72663581/docker-desktop-mac-wont-update-docker-compose
https://patch-diff.githubusercontent.com/benthecoder/til#day-176-feb-17-2023
AI Titans Clash, Deepfaked Propaganda Spreads, Generative Models Resurrect Seinfeld and morehttps://www.deeplearning.ai/the-batch/issue-184/
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of Microsoft's New Bing - DEV Community 👩‍💻👨‍💻https://dev.to/ruochenzhao3/can-chatgpt-like-generative-models-guarantee-factual-accuracy-on-the-mistakes-of-microsofts-new-bing-111b
https://patch-diff.githubusercontent.com/benthecoder/til#day-177-feb-18-2023
How to remove remote origin from a Git repository - Stack Overflowhttps://stackoverflow.com/questions/16330404/how-to-remove-remote-origin-from-a-git-repository
https://patch-diff.githubusercontent.com/benthecoder/til#day-178-feb-19-2023
python - Timeout on a function call - Stack Overflowhttps://stackoverflow.com/questions/492519/timeout-on-a-function-call
https://patch-diff.githubusercontent.com/benthecoder/til#day-179-feb-20-2023
Why You're Christian - David Perellhttps://perell.com/essay/why-youre-christian/
https://patch-diff.githubusercontent.com/benthecoder/til#day-180-feb-21-2023
python - How to get the return value of a function passed to multiprocessing.Process? - Stack Overflowhttps://stackoverflow.com/questions/10415028/how-to-get-the-return-value-of-a-function-passed-to-multiprocessing-process/37736655#37736655
https://patch-diff.githubusercontent.com/benthecoder/til#day-181-feb-22-2023
tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLIhttps://github.com/tqdm/tqdm
Understanding Subprocesses in Python - Earthly Bloghttps://earthly.dev/blog/subprocesses-in-python/
https://patch-diff.githubusercontent.com/benthecoder/til#day-182-feb-25-2023
benthecoder/neural-networks-from-scratchhttps://github.com/benthecoder/neural-networks-from-scratch
benthecoder.github.io/tilhttps://benthecoder.github.io/til
python https://patch-diff.githubusercontent.com/topics/python
data-science https://patch-diff.githubusercontent.com/topics/data-science
machine-learning https://patch-diff.githubusercontent.com/topics/machine-learning
statistics https://patch-diff.githubusercontent.com/topics/statistics
mlops https://patch-diff.githubusercontent.com/topics/mlops
Readme https://patch-diff.githubusercontent.com/benthecoder/til#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/benthecoder/til
Activityhttps://patch-diff.githubusercontent.com/benthecoder/til/activity
8 starshttps://patch-diff.githubusercontent.com/benthecoder/til/stargazers
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