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Title: GitHub - DataHackIL/DataTalks: A list of past meetups of the DataTalks meetup series and related resources.

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DataTalks #1: Web traffic estimation and big ML workflowshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-1-web-traffic-estimation-and-big-ml-workflows
Roy Yadoo, SimilarWeb - Web traffic estimation as a meta-analysis challenge ๐Ÿšฆhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#roy-yadoo-similarweb-web-traffic-estimation-as-a-meta-analysis-challenge-vertical-traffic-light
Daniel Marcous, Google - Production-Ready BIG ML Workflows: From zero to hero ๐Ÿ†https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#daniel-marcous-google-production-ready-big-ml-workflows-from-zero-to-hero-trophy
DataTalks #2: Markov blankets for feature selection & app mentions in textshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-2-markov-blankets-for-feature-selection-app-mentions-in-texts
Avishay Meron, PayPal - On feature selection: Key ideas and utilization in fraud analysis ๐Ÿ’ตhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#avishay-meron-paypal-on-feature-selection-key-ideas-and-utilization-in-fraud-analysis-dollar
Doron Kukliansky, Facebook - App mentions in texts ๐Ÿ“ฑhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#doron-kukliansky-facebook-app-mentions-in-texts-iphone
DataTalks #3: Dive into Data Science with Pythonhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-3-dive-into-data-science-with-python
Yoav Ram, Stanford - Dive into Scientific Python ๐Ÿ”ฌ๐Ÿhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#yoav-ram-stanford-dive-into-scientific-python-microscope-snake
Shay Palachy, Neura - Quick & dirty data science in Python ๐Ÿ’ฉ๐Ÿhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#shay-palachy-neura-quick-dirty-data-science-in-python-poop-snake
DataTalks #4: Python on Spark and location-based searchhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-4-python-on-spark-and-location-based-search
Erez Barshir, Easy - Data Science in location-based search ๐ŸŒhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#erez-barshir-easy-data-science-in-location-based-search-globe-with-meridians
Alex Landa, Trainologic - Python Spark Intro for Data Scientists ๐Ÿ๐Ÿ’ฅhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#alex-landa-trainologic-python-spark-intro-for-data-scientists-snake-boom
DataTalks #4.5: A Shallow Introduction to Deep Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-4-5-a-shallow-introduction-to-deep-learning
Dr. Eyal Gruss - A Shallow Introduction to Deep Learning ๐ŸŸ๐Ÿ“™https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#dr-eyal-gruss-a-shallow-introduction-to-deep-learning-fish-orange-book
DataTalks #5: Advanced Topics in Clusteringhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-5-advanced-topics-in-clustering
Ilai Fallach, StoreSmarts - K-means++: Harder, Better, Faster, Stronger โœจhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#ilai-fallach-storesmarts-k-means-harder-better-faster-stronger-sparkles
Nadav Bar, Google - A Practical Intro To Density Based Clustering ๐ŸŒ‘https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#nadav-bar-google-a-practical-intro-to-density-based-clustering-new-moon
DataTalks #6: DataHack Championshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-6-datahack-champions
Sria Louis, The Hebrew University - Using graph-based features to predict ship type ๐Ÿšขhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#sria-louis-the-hebrew-university-using-graph-based-features-to-predict-ship-type-ship
Seffi Cohen, IDF - Ensemble models approach for cab ride duration prediction ๐Ÿš•https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#seffi-cohen-idf-ensemble-models-approach-for-cab-ride-duration-prediction-taxi
Doron Kukliansky - Data Driven Video Creation ๐Ÿ“นhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#doron-kukliansky-data-driven-video-creation-video-camera
DataTalks #7: Topics in Online Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-7-topics-in-online-learning
Michal Moshkovitz, The Hebrew University of Jerusalem - What Cannot Be Learned With Bounded Memory? ๐Ÿ’พhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#michal-moshkovitz-the-hebrew-university-of-jerusalem-what-cannot-be-learned-with-bounded-memory
Kristian Holsheimer, Booking.com - FTRL Formulations For Online Learning ๐Ÿ“ฑ๐Ÿ“šhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#kristian-holsheimer-booking-com-ftrl-formulations-for-online-learning
DataTalks #8: Topics in statistics - Bayesian inference and independence testshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-8-topics-in-statistics-bayesian-inference-and-independence-tests
Eric Novik, Generable - High Dimensional Bayesian Inference with Stan ๐Ÿ”ฌhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#eric-novik-generable-high-dimensional-bayesian-inference-with-stan
Or Zuk, HUJI - Testing Independence with Biased Sampling ๐Ÿ’ช๐Ÿ‘จ๐Ÿ‘จ๐Ÿ‘จhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#or-zuk-huji-testing-independence-with-biased-sampling
DataTalks #9: Mastering Catboost and XGBoost in Productionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-9-mastering-catboost-and-xgboost-in-production
Tal Peretz - Mastering The New Generation of Gradient Boosting ๐Ÿฑ๐ŸŒณhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#tal-peretz-mastering-the-new-generation-of-gradient-boosting
Barak Amar, PerimeterX - Boosting Trees in Production ๐Ÿš€๐ŸŒณhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#barak-amar-perimeterx-boosting-trees-in-production
DataTalks #10: Topics in Adversarial Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-10-topics-in-adversarial-learning
Gal Yona - An Introduction to Adversarial Examples ๐Ÿ”ซ๐Ÿ“Œhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gal-yona-an-introduction-to-adversarial-examples
Yossi Adi - Beyond Classification: Extending and Leveraging Adversarial Examples ๐Ÿคธ๐Ÿฝโ€โ™€๏ธ๐Ÿ‹https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#yossi-adi-beyond-classification-extending-and-leveraging-adversarial-examples
DataTalks #11: App Store Optimization and Life-Time Value Predictionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-11-app-store-optimization-and-life-time-value-prediction
Michael Kozak - Boosting UA Performances with User LTV Predictive Models ๐Ÿ’‰๐Ÿ“ฑhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#michael-kozak-boosting-ua-performances-with-user-ltv-predictive-models
Roy Berkowitz - Multi-Armed Bandit for App Store Optimization ๐Ÿ–๐Ÿ––๐Ÿ‘‹๐Ÿ”ซ๐Ÿ’ฐ๐Ÿ›https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#roy-berkowitz-multi-armed-bandit-for-app-store-optimization
DataTalks #12: Test Driven Data Science and The Power of Weak Supervisionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-12-test-driven-data-science-and-the-power-of-weak-supervision
Gershon Celniker - "Know Your Data!" Test Driven Data Sciencehttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gershon-celniker-know-your-data-test-driven-data-science
Asaf Valadarsky - The Many Benefits of Weak Supervisionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#asaf-valadarsky-the-many-benefits-of-weak-supervision
DataTalks #13: The Beauty and The Hyperparameter Optimization Beasthttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-13-the-beauty-and-the-hyperparameter-optimization-beast
Olha Shainoha - Can Machines Learn Beuty?https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#olha-shainoha-can-machines-learn-beuty
Gilad Rubin - HyPSTER - HyperParameter Optimization on STERoidshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gilad-rubin-hypster-hyperparameter-optimization-on-steroids
DataTalks #14: Israeli Elections - Polls, Election Data and Analysishttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-14-israeli-elections-polls-election-data-and-analysis
Yonatan Lazar-Telem (โ€œAutoPollerโ€) - How I created and analyzed my transparent pollhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#yonatan-lazar-telem-autopoller-how-i-created-and-analyzed-my-transparent-poll
Itamar Mushkin - Elections results from 1996 to 2019: estimating transition of votes between partieshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#itamar-mushkin-elections-results-from-1996-to-2019-estimating-transition-of-votes-between-parties
DataTalks #15: Deep Learning for AV Domain Adaptation and Transforming 2D to 3Dhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-15-deep-learning-for-av-domain-adaptation-and-transforming-2d-to-3d
Peter Naftaliev - Transforming 2D Images to 3D modelshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#peter-naftaliev-transforming-2d-images-to-3d-models
Raja Giryes - Domain Adaptation for Autonomous Vehicles and 3D Datahttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#raja-giryes-domain-adaptation-for-autonomous-vehicles-and-3d-data
DataTalks #20: Data Science Work Flow - Challenges and Best Practiceshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-20-data-science-work-flow-challenges-and-best-practices
Nir Dagani - How Do We Do Massively Parallel Feature Extraction in WSC Sports Using Amazon SageMaker Batch Transformhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#nir-dagani-how-do-we-do-massively-parallel-feature-extraction-in-wsc-sports-using-amazon-sagemaker-batch-transform
Guy Smoilovsky - Mental Models for the Data Science Workflowhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#guy-smoilovsky-mental-models-for-the-data-science-workflow
DataTalks #28: DataTalks #28: Cross-Domain Few-Shot Classification โœ๏ธ๐Ÿ”ซhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-28-datatalks-28-cross-domain-few-shot-classification
Hung-Yu Tseng, U.C. Merced - Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformationhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#hung-yu-tseng-u-c-merced-cross-domain-few-shot-classification-via-learned-feature-wise-transformation
DataTalks #29: Distilling BNNs with GANs and StarNet โš—๏ธ๐Ÿ”ซโญ๏ธhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-29-distilling-bnns-with-gans-and-starnet
Natan Katz - Distilling BNNs with GANshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#natan-katz-distilling-bnns-with-gans
Leonid Karlinsky - Few-Shot Learning for Classification with StarNethttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#leonid-karlinsky-few-shot-learning-for-classification-with-starnet
DataTalks #30: Model Distillation ๐Ÿง โš—๏ธhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-30-model-distillation
Shani Gamrian - Model Distillation for Object Detectionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#shani-gamrian-model-distillation-for-object-detection
Gilad Landau - Distilling Maritime Insights with Deep Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gilad-landau-distilling-maritime-insights-with-deep-learning
DataTalks #31: Understanding Overfitting in Machine Learning โ›น๏ธโ€โ™€๏ธ๐Ÿคพโ€โ™‚๏ธ๐Ÿคฝโ€โ™€๏ธ๐Ÿง https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-31-understanding-overfitting-in-machine-learning
Dana Racah & Inbal Budowski-Tal - When Machine Learning Hits Reality ๐Ÿงฑhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#dana-racah-inbal-budowski-tal-when-machine-learning-hits-reality
Gal Yona - How long does your data live? Test-set re-use in modern ML โ™ป๏ธhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gal-yona-how-long-does-your-data-live-test-set-re-use-in-modern-ml
DataTalks #32: Optimizing Elements of BERT & AutoGAN-Distiller โœ”๏ธ๐Ÿง https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-32-optimizing-elements-of-bert-autogan-distiller
Zohar Karnin - schuBERT: Optimizing Elements of BERThttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#zohar-karnin-schubert-optimizing-elements-of-bert
๐—ฌ๐—ผ๐—ฎ๐˜ƒ ๐—ฅ๐—ฎ๐—บ๐—ผ๐—ป - ๐—š๐—”๐—ก ๐——๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜„๐—ถ๐˜๐—ต ๐—”๐˜‚๐˜๐—ผ๐—š๐—”๐—ก-๐——๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฒ๐—ฟhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#oav-amon-istillation-with-uto-istiller
DataTalks #33: Computer vision & NLP in healthcare ๐Ÿ‘๏ธ๐Ÿฅhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-33-computer-vision-nlp-in-healthcare
Moran Beladev - NLP aspects in medical recordshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#moran-beladev-nlp-aspects-in-medical-records
Sivan Biham - Wound documentation and measurement using a single smartphone camerahttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#sivan-biham-wound-documentation-and-measurement-using-a-single-smartphone-camera
DataTalks #34: Advanced Data Validation โœ”๏ธ๐Ÿ’พhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-34-advanced-data-validation
Julian Sprung - Dataset Versioning and Feature Stores for MLhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#julian-sprung-dataset-versioning-and-feature-stores-for-ml
Aviram Berg - Validation & testing techniques through the phases of a DS projecthttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#aviram-berg-validation-testing-techniques-through-the-phases-of-a-ds-project
DataTalks #1: Web traffic estimation and big ML workflowshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id3
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-1-web-traffic-estimation-and-big-ml-workflows
https://www.meetup.com/DataHack/events/231012715/https://www.meetup.com/DataHack/events/231012715/
Roy Yadoo, SimilarWeb - Web traffic estimation as a meta-analysis challenge ๐Ÿšฆhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id4
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#roy-yadoo-similarweb---web-traffic-estimation-as-a-meta-analysis-challenge-vertical_traffic_light
Daniel Marcous, Google - Production-Ready BIG ML Workflows: From zero to hero ๐Ÿ†https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id5
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#daniel-marcous-google---production-ready-big-ml-workflows-from-zero-to-hero-trophy
http://www.slideshare.net/DanielMarcous/productionready-big-ml-workflows-from-zero-to-herohttp://www.slideshare.net/DanielMarcous/productionready-big-ml-workflows-from-zero-to-hero
https://github.com/dmarcous/BigMLFlowhttps://github.com/dmarcous/BigMLFlow
DataTalks #2: Markov blankets for feature selection & app mentions in textshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id6
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-2-markov-blankets-for-feature-selection--app-mentions-in-texts
https://www.meetup.com/DataHack/events/232842934/https://www.meetup.com/DataHack/events/232842934/
Avishay Meron, PayPal - On feature selection: Key ideas and utilization in fraud analysis ๐Ÿ’ตhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id7
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#avishay-meron-paypal---on-feature-selection-key-ideas-and-utilization-in-fraud-analysis-dollar
Doron Kukliansky, Facebook - App mentions in texts ๐Ÿ“ฑhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id8
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#doron-kukliansky-facebook---app-mentions-in-texts-iphone
DataTalks #3: Dive into Data Science with Pythonhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id9
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-3-dive-into-data-science-with-python
https://www.meetup.com/DataHack/events/237926275/https://www.meetup.com/DataHack/events/237926275/
Yoav Ram, Stanford - Dive into Scientific Python ๐Ÿ”ฌ๐Ÿhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id10
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#yoav-ram-stanford---dive-into-scientific-python-microscopesnake
https://www.youtube.com/watch?v=2MnSfWD44IMhttps://www.youtube.com/watch?v=2MnSfWD44IM
https://github.com/yoavram/DataTalks2017https://github.com/yoavram/DataTalks2017
https://github.com/yoavram/PyConIL2016https://github.com/yoavram/PyConIL2016
Shay Palachy, Neura - Quick & dirty data science in Python ๐Ÿ’ฉ๐Ÿhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id11
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#shay-palachy-neura---quick--dirty-data-science-in-python-poopsnake
DataTalks #4: Python on Spark and location-based searchhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id12
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-4-python-on-spark-and-location-based-search
https://www.meetup.com/DataHack/events/239689575/https://www.meetup.com/DataHack/events/239689575/
Erez Barshir, Easy - Data Science in location-based search ๐ŸŒhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id13
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#erez-barshir-easy---data-science-in-location-based-search-globe_with_meridians
Alex Landa, Trainologic - Python Spark Intro for Data Scientists ๐Ÿ๐Ÿ’ฅhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id14
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#alex-landa-trainologic---python-spark-intro-for-data-scientists-snakeboom
http://trainologic.com/python-spark-intro-data-scientists-2/http://trainologic.com/python-spark-intro-data-scientists-2/
DataTalks #4.5: A Shallow Introduction to Deep Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id15
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-45-a-shallow-introduction-to-deep-learning
https://www.meetup.com/DataHack/events/239977617/https://www.meetup.com/DataHack/events/239977617/
Dr. Eyal Gruss - A Shallow Introduction to Deep Learning ๐ŸŸ๐Ÿ“™https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id16
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#dr-eyal-gruss---a-shallow-introduction-to-deep-learning-fishorange_book
http://bit.ly/introduction-deep-learninghttp://bit.ly/introduction-deep-learning
DataTalks #5: Advanced Topics in Clusteringhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id17
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-5-advanced-topics-in-clustering
https://www.meetup.com/DataHack/events/242507384/https://www.meetup.com/DataHack/events/242507384/
Ilai Fallach, StoreSmarts - K-means++: Harder, Better, Faster, Stronger โœจhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id18
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#ilai-fallach-storesmarts---k-means-harder-better-faster-stronger-sparkles
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_5/clustering-intro-center-based.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_5/clustering-intro-center-based.pdf
Nadav Bar, Google - A Practical Intro To Density Based Clustering ๐ŸŒ‘https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id19
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#nadav-bar-google---a-practical-intro-to-density-based-clustering-new_moon
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_5/density_clustering_datahack_meetup.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_5/density_clustering_datahack_meetup.pdf
https://github.com/nadavbar/density-based-clusteringhttps://github.com/nadavbar/density-based-clustering
DataTalks #6: DataHack Championshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id20
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-6-datahack-champions
https://www.meetup.com/DataHack/events/242508298/https://www.meetup.com/DataHack/events/242508298/
Sria Louis, The Hebrew University - Using graph-based features to predict ship type ๐Ÿšขhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id21
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#sria-louis-the-hebrew-university---using-graph-based-features-to-predict-ship-type-ship
https://www.youtube.com/watch?v=xk3Z0zgbS4Ihttps://www.youtube.com/watch?v=xk3Z0zgbS4I
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_6/DataTalks_6_Sea_snails.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_6/DataTalks_6_Sea_snails.pdf
Seffi Cohen, IDF - Ensemble models approach for cab ride duration prediction ๐Ÿš•https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id22
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#seffi-cohen-idf---ensemble-models-approach-for-cab-ride-duration-prediction-taxi
https://www.youtube.com/watch?v=8d_9n10s3SQhttps://www.youtube.com/watch?v=8d_9n10s3SQ
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_6/datatalks_6-eta_prediction_challenge.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_6/datatalks_6-eta_prediction_challenge.pdf
Doron Kukliansky - Data Driven Video Creation ๐Ÿ“นhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id23
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#doron-kukliansky---data-driven-video-creation-video_camera
https://www.youtube.com/watch?v=GwKq3pHkNc0https://www.youtube.com/watch?v=GwKq3pHkNc0
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_6/DataTalks_6-SimPhony.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_6/DataTalks_6-SimPhony.pdf
DataTalks #7: Topics in Online Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id24
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-7-topics-in-online-learning
https://www.meetup.com/DataHack/events/248628019/https://www.meetup.com/DataHack/events/248628019/
Michal Moshkovitz, The Hebrew University of Jerusalem - What Cannot Be Learned With Bounded Memory? ๐Ÿ’พhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id25
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#michal-moshkovitz-the-hebrew-university-of-jerusalem---what-cannot-be-learned-with-bounded-memory-
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_7/DataTalks7-Michal_Moshkovitz-What_Cannot_Be_Learned_With_Bounded_Memory.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_7/DataTalks7-Michal_Moshkovitz-What_Cannot_Be_Learned_With_Bounded_Memory.pdf
Kristian Holsheimer, Booking.com - FTRL Formulations For Online Learning ๐Ÿ“ฑ๐Ÿ“šhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id26
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#kristian-holsheimer-bookingcom---ftrl-formulations-for-online-learning-
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_7/DataTalks7-Kristian_Holsheimer-Online_and_out-of-core_learning_with_FTRL.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_7/DataTalks7-Kristian_Holsheimer-Online_and_out-of-core_learning_with_FTRL.pdf
DataTalks #8: Topics in statistics - Bayesian inference and independence testshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id27
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-8-topics-in-statistics---bayesian-inference-and-independence-tests
https://www.meetup.com/DataHack/events/256061145/https://www.meetup.com/DataHack/events/256061145/
Eric Novik, Generable - High Dimensional Bayesian Inference with Stan ๐Ÿ”ฌhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id28
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#eric-novik-generable---high-dimensional-bayesian-inference-with-stan-
Or Zuk, HUJI - Testing Independence with Biased Sampling ๐Ÿ’ช๐Ÿ‘จ๐Ÿ‘จ๐Ÿ‘จhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id29
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#or-zuk-huji---testing-independence-with-biased-sampling-
DataTalks #9: Mastering Catboost and XGBoost in Productionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id30
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-9-mastering-catboost-and-xgboost-in-production
https://www.meetup.com/DataHack/events/257155216/https://www.meetup.com/DataHack/events/257155216/
Tal Peretz - Mastering The New Generation of Gradient Boosting ๐Ÿฑ๐ŸŒณhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id31
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#tal-peretz---mastering-the-new-generation-of-gradient-boosting-
https://www.youtube.com/watch?v=V6nMkUiBdTI&t=0s&index=7&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtuhttps://www.youtube.com/watch?v=V6nMkUiBdTI&t=0s&index=7&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu
https://talperetz.github.io/Tal-Peretz/mastering_the_new_generation_of_gradient_boosting/mastering_the_new_generation_of_gradient_boosting.htmlhttps://talperetz.github.io/Tal-Peretz/mastering_the_new_generation_of_gradient_boosting/mastering_the_new_generation_of_gradient_boosting.html
Barak Amar, PerimeterX - Boosting Trees in Production ๐Ÿš€๐ŸŒณhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id32
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#barak-amar-perimeterx---boosting-trees-in-production-
https://www.youtube.com/watch?v=AVhcVraKXis&index=7&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtuhttps://www.youtube.com/watch?v=AVhcVraKXis&index=7&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_9/Boosting%20Trees%20in%20Production%20-%20DataTalks%20%239%20Meetup%202019-01-22.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_9/Boosting%20Trees%20in%20Production%20-%20DataTalks%20%239%20Meetup%202019-01-22.pdf
DataTalks #10: Topics in Adversarial Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id33
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-10-topics-in-adversarial-learning
https://www.meetup.com/DataHack/events/258554649/https://www.meetup.com/DataHack/events/258554649/
Gal Yona - An Introduction to Adversarial Examples ๐Ÿ”ซ๐Ÿ“Œhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id34
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gal-yona---an-introduction-to-adversarial-examples-
https://www.youtube.com/watch?v=Z9D87D_zkOA&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu&index=11&t=10shttps://www.youtube.com/watch?v=Z9D87D_zkOA&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu&index=11&t=10s
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_10/DataTalks%2010%20-%20Gal%20Yona%20-%20A%20Brief%20Introduction%20to%20Adversarial%20Examples.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_10/DataTalks%2010%20-%20Gal%20Yona%20-%20A%20Brief%20Introduction%20to%20Adversarial%20Examples.pdf
Yossi Adi - Beyond Classification: Extending and Leveraging Adversarial Examples ๐Ÿคธ๐Ÿฝโ€โ™€๏ธ๐Ÿ‹https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id35
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#yossi-adi---beyond-classification-extending-and-leveraging-adversarial-examples-โ€๏ธ
https://youtu.be/42Zt58IqjuYhttps://youtu.be/42Zt58IqjuY
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_10/DataTalks%2010%20-%20Yossi%20Adi%20-%20Beyond%20Classification-%20Extending%20and%20%20Leveraging%20Adversarial%20Examples.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_10/DataTalks%2010%20-%20Yossi%20Adi%20-%20Beyond%20Classification-%20Extending%20and%20%20Leveraging%20Adversarial%20Examples.pdf
DataTalks #11: App Store Optimization and Life-Time Value Predictionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id36
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-11-app-store-optimization-and-life-time-value-prediction
https://www.meetup.com/DataHack/events/262090862/https://www.meetup.com/DataHack/events/262090862/
Michael Kozak - Boosting UA Performances with User LTV Predictive Models ๐Ÿ’‰๐Ÿ“ฑhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id37
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#michael-kozak---boosting-ua-performances-with-user-ltv-predictive-models-
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_11/Michael%20Kozak%2C%20Playstudios%20-%20Boosting%20UA%20Performance%20with%20User%20LTV%20Predictive%20Models.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_11/Michael%20Kozak%2C%20Playstudios%20-%20Boosting%20UA%20Performance%20with%20User%20LTV%20Predictive%20Models.pdf
Roy Berkowitz - Multi-Armed Bandit for App Store Optimization ๐Ÿ–๐Ÿ––๐Ÿ‘‹๐Ÿ”ซ๐Ÿ’ฐ๐Ÿ›https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id38
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#roy-berkowitz---multi-armed-bandit-for-app-store-optimization-
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_11/StoreIQ%20-%20The%20Multi-Armed%20Bandit%20for%20App%20Store%20Optimization%20by%20StoreMaven.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_11/StoreIQ%20-%20The%20Multi-Armed%20Bandit%20for%20App%20Store%20Optimization%20by%20StoreMaven.pdf
DataTalks #12: Test Driven Data Science and The Power of Weak Supervisionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id39
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-12-test-driven-data-science-and-the-power-of-weak-supervision
https://www.meetup.com/DataHack/events/263386803/https://www.meetup.com/DataHack/events/263386803/
Gershon Celniker - "Know Your Data!" Test Driven Data Sciencehttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id40
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gershon-celniker---know-your-data-test-driven-data-science
Asaf Valadarsky - The Many Benefits of Weak Supervisionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id41
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#asaf-valadarsky---the-many-benefits-of-weak-supervision
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_12/The%20Many%20Benefits%20of%20Weak%20Supervision.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_12/The%20Many%20Benefits%20of%20Weak%20Supervision.pdf
DataTalks #13: The Beauty and The Hyperparameter Optimization Beasthttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id42
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-13-the-beauty-and-the-hyperparameter-optimization-beast
https://www.meetup.com/DataHack/events/264038866/https://www.meetup.com/DataHack/events/264038866/
Olha Shainoha - Can Machines Learn Beuty?https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id43
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#olha-shainoha---can-machines-learn-beuty
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_13/Learning_Beauty.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_13/Learning_Beauty.pdf
Gilad Rubin - HyPSTER - HyperParameter Optimization on STERoidshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id44
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gilad-rubin---hypster---hyperparameter-optimization-on-steroids
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_13/HyPSTER.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_13/HyPSTER.pdf
DataTalks #14: Israeli Elections - Polls, Election Data and Analysishttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id45
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-14-israeli-elections---polls-election-data-and-analysis
https://www.meetup.com/DataHack/events/264102560/https://www.meetup.com/DataHack/events/264102560/
Yonatan Lazar-Telem (โ€œAutoPollerโ€) - How I created and analyzed my transparent pollhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id46
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#yonatan-lazar-telem-autopoller---how-i-created-and-analyzed-my-transparent-poll
http://bit.ly/transpolldatahttp://bit.ly/transpolldata
https://www.youtube.com/watch?v=v5W0GDIr-EI&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu&index=16&t=15shttps://www.youtube.com/watch?v=v5W0GDIr-EI&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu&index=16&t=15s
https://shkifut.info/2019/03/transparentpolls/https://shkifut.info/2019/03/transparentpolls/
https://www.facebook.com/AutoPoller/https://www.facebook.com/AutoPoller/
Itamar Mushkin - Elections results from 1996 to 2019: estimating transition of votes between partieshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id47
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#itamar-mushkin---elections-results-from-1996-to-2019-estimating-transition-of-votes-between-parties
https://www.kaggle.com/itamarmushkin/israeli-elections-2015-2013https://www.kaggle.com/itamarmushkin/israeli-elections-2015-2013
https://www.youtube.com/watch?v=CX466Xamlvk&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu&index=17&t=1shttps://www.youtube.com/watch?v=CX466Xamlvk&list=PLZYkt7161wELBhCKNMMthhNo61Z2k8xtu&index=17&t=1s
DataTalks #15: Deep Learning for AV Domain Adaptation and Transforming 2D to 3Dhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id48
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-15-deep-learning-for-av-domain-adaptation-and-transforming-2d-to-3d
https://www.meetup.com/DataHack/events/264285462/https://www.meetup.com/DataHack/events/264285462/
Peter Naftaliev - Transforming 2D Images to 3D modelshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id49
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#peter-naftaliev---transforming-2d-images-to-3d-models
Raja Giryes - Domain Adaptation for Autonomous Vehicles and 3D Datahttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id50
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#raja-giryes---domain-adaptation-for-autonomous-vehicles-and-3d-data
DataTalks #20: Data Science Work Flow - Challenges and Best Practiceshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id51
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-20-data-science-work-flow---challenges-and-best-practices
https://www.meetup.com/DataHack/events/267907543/https://www.meetup.com/DataHack/events/267907543/
Nir Dagani - How Do We Do Massively Parallel Feature Extraction in WSC Sports Using Amazon SageMaker Batch Transformhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id52
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#nir-dagani---how-do-we-do-massively-parallel-feature-extraction-in-wsc-sports-using-amazon-sagemaker-batch-transform
Guy Smoilovsky - Mental Models for the Data Science Workflowhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id53
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#guy-smoilovsky---mental-models-for-the-data-science-workflow
https://www.youtube.com/watch?v=Nf8DvXacI1khttps://www.youtube.com/watch?v=Nf8DvXacI1k
DataTalks #28: DataTalks #28: Cross-Domain Few-Shot Classification โœ๏ธ๐Ÿ”ซhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id54
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-28-datatalks-28-cross-domain-few-shot-classification-๏ธ
https://www.meetup.com/DataHack/events/271327325/https://www.meetup.com/DataHack/events/271327325/
Hung-Yu Tseng, U.C. Merced - Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformationhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id55
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#hung-yu-tseng-uc-merced---cross-domain-few-shot-classification-via-learned-feature-wise-transformation
https://arxiv.org/abs/2001.08735https://arxiv.org/abs/2001.08735
https://www.youtube.com/watch?v=2-ZY4rAw6gg&t=3shttps://www.youtube.com/watch?v=2-ZY4rAw6gg&t=3s
DataTalks #29: Distilling BNNs with GANs and StarNet โš—๏ธ๐Ÿ”ซโญ๏ธhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id56
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-29-distilling-bnns-with-gans-and-starnet-๏ธ๏ธ
https://www.meetup.com/DataHack/events/271491125/https://www.meetup.com/DataHack/events/271491125/
Natan Katz - Distilling BNNs with GANshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id57
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#natan-katz---distilling-bnns-with-gans
https://arxiv.org/abs/1806.10317https://arxiv.org/abs/1806.10317
Natan Katz - Distilling BNNs with GANs.pptxhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_29/%F0%9D%97%A1%F0%9D%97%AE%F0%9D%98%81%F0%9D%97%AE%F0%9D%97%BB%20%F0%9D%97%9E%F0%9D%97%AE%F0%9D%98%81%F0%9D%98%87%20-%20%F0%9D%97%97%F0%9D%97%B6%F0%9D%98%80%F0%9D%98%81%F0%9D%97%B6%F0%9D%97%B9%F0%9D%97%B9%F0%9D%97%B6%F0%9D%97%BB%F0%9D%97%B4%20%F0%9D%97%95%F0%9D%97%A1%F0%9D%97%A1%F0%9D%98%80%20%F0%9D%98%84%F0%9D%97%B6%F0%9D%98%81%F0%9D%97%B5%20%F0%9D%97%9A%F0%9D%97%94%F0%9D%97%A1%F0%9D%98%80.pptx?raw=true
Leonid Karlinsky - Few-Shot Learning for Classification with StarNethttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id58
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#leonid-karlinsky---few-shot-learning-for-classification-with-starnet
https://arxiv.org/abs/2003.06798https://arxiv.org/abs/2003.06798
Leonid Karlinsky - Few-Shot Learning for Classification with StarNet.pptxhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_29/Leonid%20Karlinsky%20-%20Few-Shot%20Learning%20for%20Classification%20with%20StarNet.pptx?raw=true
DataTalks #30: Model Distillation ๐Ÿง โš—๏ธhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id59
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-30-model-distillation-๏ธ
https://www.meetup.com/DataHack/events/271479686/https://www.meetup.com/DataHack/events/271479686/
Shani Gamrian - Model Distillation for Object Detectionhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id60
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#shani-gamrian---model-distillation-for-object-detection
https://arxiv.org/abs/1906.03609https://arxiv.org/abs/1906.03609
https://www.youtube.com/watch?v=V9m9TMfWyywhttps://www.youtube.com/watch?v=V9m9TMfWyyw
Gilad Landau - Distilling Maritime Insights with Deep Learninghttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id61
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gilad-landau---distilling-maritime-insights-with-deep-learning
https://arxiv.org/abs/1503.02531https://arxiv.org/abs/1503.02531
https://arxiv.org/abs/1711.00941https://arxiv.org/abs/1711.00941
https://arxiv.org/abs/1609.03499https://arxiv.org/abs/1609.03499
https://www.youtube.com/watch?v=V9m9TMfWyywhttps://www.youtube.com/watch?v=V9m9TMfWyyw
DataTalks #31: Understanding Overfitting in Machine Learning โ›น๏ธโ€โ™€๏ธ๐Ÿคพโ€โ™‚๏ธ๐Ÿคฝโ€โ™€๏ธ๐Ÿง https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id62
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-31-understanding-overfitting-in-machine-learning-๏ธโ€๏ธโ€๏ธโ€๏ธ
https://www.meetup.com/DataHack/events/271665712/https://www.meetup.com/DataHack/events/271665712/
Dana Racah & Inbal Budowski-Tal - When Machine Learning Hits Reality ๐Ÿงฑhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id63
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#dana-racah--inbal-budowski-tal---when-machine-learning-hits-reality-
https://www.youtube.com/watch?v=ENqJG0NAj1shttps://www.youtube.com/watch?v=ENqJG0NAj1s
Gal Yona - How long does your data live? Test-set re-use in modern ML โ™ป๏ธhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id64
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#gal-yona---how-long-does-your-data-live-test-set-re-use-in-modern-ml-๏ธ
http://proceedings.mlr.press/v97/recht19a/recht19a.pdfhttp://proceedings.mlr.press/v97/recht19a/recht19a.pdf
http://papers.neurips.cc/paper/9117-a-meta-analysis-of-overfitting-in-machine-learning.pdfhttp://papers.neurips.cc/paper/9117-a-meta-analysis-of-overfitting-in-machine-learning.pdf
https://www.youtube.com/watch?v=ENqJG0NAj1shttps://www.youtube.com/watch?v=ENqJG0NAj1s
DataTalks #32: Optimizing Elements of BERT & AutoGAN-Distiller โœ”๏ธ๐Ÿง https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id65
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-32-optimizing-elements-of-bert--autogan-distiller-๏ธ
https://www.meetup.com/DataHack/events/271942499/https://www.meetup.com/DataHack/events/271942499/
Zohar Karnin - schuBERT: Optimizing Elements of BERThttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id66
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#zohar-karnin---schubert-optimizing-elements-of-bert
https://www.aclweb.org/anthology/2020.acl-main.250.pdfhttps://www.aclweb.org/anthology/2020.acl-main.250.pdf
https://www.youtube.com/watch?v=qtR9F4zWVMYhttps://www.youtube.com/watch?v=qtR9F4zWVMY
๐—ฌ๐—ผ๐—ฎ๐˜ƒ ๐—ฅ๐—ฎ๐—บ๐—ผ๐—ป - ๐—š๐—”๐—ก ๐——๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜„๐—ถ๐˜๐—ต ๐—”๐˜‚๐˜๐—ผ๐—š๐—”๐—ก-๐——๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฒ๐—ฟhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id67
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#๐—ฌ๐—ผ๐—ฎ๐˜ƒ-๐—ฅ๐—ฎ๐—บ๐—ผ๐—ป---๐—š๐—”๐—ก-๐——๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป-๐˜„๐—ถ๐˜๐—ต-๐—”๐˜‚๐˜๐—ผ๐—š๐—”๐—ก-๐——๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฒ๐—ฟ
https://arxiv.org/pdf/2006.08198v1.pdfhttps://arxiv.org/pdf/2006.08198v1.pdf
https://github.com/TAMU-VITA/AGDhttps://github.com/TAMU-VITA/AGD
https://www.youtube.com/watch?v=qtR9F4zWVMYhttps://www.youtube.com/watch?v=qtR9F4zWVMY
DataTalks #33: Computer vision & NLP in healthcare ๐Ÿ‘๏ธ๐Ÿฅhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id68
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-33-computer-vision--nlp-in-healthcare-๏ธ
https://www.meetup.com/DataHack/events/jmmncsybcqblc/https://www.meetup.com/DataHack/events/jmmncsybcqblc/
Moran Beladev - NLP aspects in medical recordshttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id69
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#moran-beladev---nlp-aspects-in-medical-records
https://www.youtube.com/watch?v=e3mfd6yoa6Ihttps://www.youtube.com/watch?v=e3mfd6yoa6I
Sivan Biham - Wound documentation and measurement using a single smartphone camerahttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id70
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#sivan-biham---wound-documentation-and-measurement-using-a-single-smartphone-camera
https://www.youtube.com/watch?v=e3mfd6yoa6Ihttps://www.youtube.com/watch?v=e3mfd6yoa6I
DataTalks #34: Advanced Data Validation โœ”๏ธ๐Ÿ’พhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id71
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#datatalks-34-advanced-data-validation-๏ธ
https://www.meetup.com/DataHack/events/286156791/https://www.meetup.com/DataHack/events/286156791/
Julian Sprung - Dataset Versioning and Feature Stores for MLhttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id72
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#julian-sprung---dataset-versioning-and-feature-stores-for-ml
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_34/DataTalks%2034%20-%20Julian%20Sprung%20-%20Dataset%20Versioning%20and%20Feature%20Stores.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_34/DataTalks%2034%20-%20Julian%20Sprung%20-%20Dataset%20Versioning%20and%20Feature%20Stores.pdf
Aviram Berg - Validation & testing techniques through the phases of a DS projecthttps://patch-diff.githubusercontent.com/DataHackIL/DataTalks#id73
https://patch-diff.githubusercontent.com/DataHackIL/DataTalks#aviram-berg---validation--testing-techniques-through-the-phases-of-a-ds-project
https://github.com/DataHackIL/DataTalks/blob/master/DataTalks_34/DataTalks%2034%20-%20Aviram%20Berg%20-%20Data%20Validation%20Pipeline.pdfhttps://github.com/DataHackIL/DataTalks/blob/master/DataTalks_34/DataTalks%2034%20-%20Aviram%20Berg%20-%20Data%20Validation%20Pipeline.pdf
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