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Title: GitHub - androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials: A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! ๐Ÿ˜€)

Open Graph Title: GitHub - androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials: A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! ๐Ÿ˜€)

X Title: GitHub - androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials: A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! ๐Ÿ˜€)

Description: A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! ๐Ÿ˜€) - androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Open Graph Description: A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas ...

X Description: A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas ...

Mail addresses
tarry.singh@gmail.com

Opengraph URL: https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

X: @github

direct link

Domain: github.com

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READMEhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
Licensehttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#new-list-2017---2020-machine-learning--deep-learning--ai--tutorials
arxiv.orghttps://arxiv.org
BIORXIV - Specifically Neurosciencehttps://www.biorxiv.org/collection/neuroscience
https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/AI.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#index
deep-learninghttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#deep-learning
UBER | Pyrohttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#uber-pyro-probabalistic-tutorials
Netflix | VectorFlowhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#netflix-vectorflow-tutorials
PyTorchhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#pytorch-tutorials
tensorflowhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#tensor-flow-tutorials
theanohttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#theano-tutorials
kerashttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#keras-tutorials
caffehttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#deep-learning-misc
Torch/Luahttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master
MXNEThttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master
scikit-learnhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#scikit-learn
statistical-inference-scipyhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#statistical-inference-scipy
pandashttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#pandas
matplotlibhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#matplotlib
numpyhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#numpy
python-datahttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#python-data
kaggle-and-business-analyseshttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#kaggle-and-business-analyses
sparkhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#spark
mapreduce-pythonhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#mapreduce-python
amazon web serviceshttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#aws
command lineshttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#commands
mischttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#misc
notebook-installationhttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#notebook-installation
Curated list of Deep Learning / AI blogshttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#curated-list-of-deeplearning-blogs
creditshttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#credits
contributinghttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#contributing
contact-infohttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#contact-info
licensehttps://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#license
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#deep-learning
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#uber-pyro-probabalistic-tutorials
https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/pyro.png
pyro-examples/full exampleshttp://pyro.ai/examples/
pyro-examples/Variational Autoencodershttp://pyro.ai/examples/vae.html
pyro-examples/Bayesian Regressionhttp://pyro.ai/examples/bayesian_regression.html
pyro-examples/Deep Markov Modelhttp://pyro.ai/examples/dmm.html
pyro-examples/AIR(Attend Infer Repeat)http://pyro.ai/examples/air.html
pyro-examples/Semi-Supervised VEhttp://pyro.ai/examples/ss-vae.html
pyro-examples/GMMhttp://pyro.ai/examples/gmm.html
pyro-examples/Gaussian Processhttp://pyro.ai/examples/gp.html
pyro-examples/Bayesian Optimizationhttp://pyro.ai/examples/bo.html
Full Pyro Codehttps://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/tree/master/deep-learning/UBER-pyro
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#netflix-vectorflow-tutorials
https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/VectorFlow.png
MNIST Example, running with Dlanghttps://github.com/Netflix/vectorflow/tree/master/examples
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#pytorch-tutorials
https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/images/PyTorch.png
Beginners/Zakizhouhttps://github.com/pytorch/tutorials/tree/master/beginner_source
Intermedia/Quanvuonghttps://github.com/pytorch/tutorials/tree/master/intermediate_source
Advanced/Chsasankhttps://github.com/pytorch/tutorials/tree/master/advanced_source
Learning PyTorch by Examples - Numpy, Tensors and Autogradhttps://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/tree/master/pytorch
PyTorch - Getting to know autograd.Variable, Gradient, Neural Networkhttps://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/master/pytorch/PyTorch%20NN%20Basics%20-%20Autograd%20Gradient%20Neural%20Network%20Loss%20Backprop.ipynb
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#tensor-flow-tutorials
https://avatars0.githubusercontent.com/u/15658638?v=3&s=100
pkmital/tensorflow_tutorialshttps://github.com/pkmital/tensorflow_tutorials
nlintz/TensorFlow-Tutorialshttps://github.com/nlintz/TensorFlow-Tutorials
alrojo/tensorflow-tutorialhttps://github.com/alrojo/tensorflow-tutorial
BinRoot/TensorFlow-Bookhttps://github.com/BinRoot/TensorFlow-Book
tsf-basicshttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/1_intro/basic_operations.ipynb
tsf-linearhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/linear_regression.ipynb
tsf-logistichttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/logistic_regression.ipynb
tsf-nnhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/nearest_neighbor.ipynb
tsf-alexhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb
tsf-cnnhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/convolutional_network.ipynb
tsf-mlphttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/multilayer_perceptron.ipynb
tsf-rnnhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/recurrent_network.ipynb
tsf-gpuhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/4_multi_gpu/multigpu_basics.ipynb
tsf-gvizhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/graph_visualization.ipynb
tsf-lvizhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#tensor-flow-exercises
tsf-not-mnisthttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-exercises/1_notmnist.ipynb
tsf-fully-connectedhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb
tsf-regularizationhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-exercises/3_regularization.ipynb
tsf-convolutionshttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-exercises/4_convolutions.ipynb
tsf-word2vechttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-exercises/5_word2vec.ipynb
tsf-lstmhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/tensor-flow-exercises/6_lstm.ipynb
https://camo.githubusercontent.com/b36cd02421d1a62305f12f669cf130b8101f514e64f9c19d1ad8eba814fe0e67/687474703a2f2f7777772e646565706c6561726e696e672e6e65742f736f6674776172652f746865616e6f2f5f7374617469632f746865616e6f5f6c6f676f5f616c6c626c75655f3230307834362e706e67
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#theano-tutorials
theano-introhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/theano-tutorial/intro_theano/intro_theano.ipynb
theano-scanhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/theano-tutorial/scan_tutorial/scan_tutorial.ipynb
theano-logistichttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/theano-tutorial/intro_theano/logistic_regression.ipynb
theano-rnnhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/theano-tutorial/rnn_tutorial/simple_rnn.ipynb
theano-mlphttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/theano-tutorial/theano_mlp/theano_mlp.ipynb
https://camo.githubusercontent.com/c6ae0e8ab0f2860e3cb475a84c00d3c6529c9202c3fba1917d40c1b1385fd795/687474703a2f2f692e696d6775722e636f6d2f4c3435513863322e6a7067
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#keras-tutorials
setuphttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/README.md
intro-deep-learning-annhttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/1.%20ANN/1.1%20Introduction%20-%20Deep%20Learning%20and%20ANN.ipynb
Perceptrons and Adalinehttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/1.%20ANN/1.1.1%20Perceptron%20and%20Adaline.ipynb
MLP and MNIST Datahttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/1.%20ANN/1.1.2%20MLP%20and%20MNIST.ipynb
theanohttp://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/1.2%20Introduction%20-%20Theano.ipynb
keras-ottohttp://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/1.3%20Introduction%20-%20Keras.ipynb
ann-mnisthttp://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/1.4%20(Extra)%20A%20Simple%20Implementation%20of%20ANN%20for%20MNIST.ipynb
conv-netshttp://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/2.1%20Supervised%20Learning%20-%20ConvNets.ipynb
conv-net-1http://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/2.2.1%20Supervised%20Learning%20-%20ConvNet%20HandsOn%20Part%20I.ipynb
conv-net-2http://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/2.2.2%20Supervised%20Learning%20-%20ConvNet%20HandsOn%20Part%20II.ipynb
keras-modelshttp://nbviewer.ipython.org/github/leriomaggio/deep-learning-keras-tensorflow/blob/master/2.3%20Supervised%20Learning%20-%20Famous%20Models%20with%20Keras.ipynb
auto-encodershttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/6.%20AutoEncoders%20and%20Embeddings/6.1.%20AutoEncoders%20and%20Embeddings.ipynb
rnn-lstmhttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/7.%20Recurrent%20Neural%20Networks/7.1%20RNN%20and%20LSTM.ipynb
lstm-sentence-genhttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/7.%20Recurrent%20Neural%20Networks/7.2%20LSTM%20for%20Sentence%20Generation.ipynb
nlp-deep-learninghttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/6.%20AutoEncoders%20and%20Embeddings/6.2%20NLP%20and%20Deep%20Learning.ipynb
hyperparamter-tuninghttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/master/5.%20HyperParameter%20Tuning%20and%20Transfer%20Learning/5.1%20HyperParameter%20Tuning.ipynb
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#deep-learning-misc
deep-dreamhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/deep-learning/deep-dream/dream.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/scikitlearn.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#scikit-learn
introhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-intro.ipynb
knnhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-intro.ipynb#K-Nearest-Neighbors-Classifier
linear-reghttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-linear-reg.ipynb
svmhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-svm.ipynb
random-foresthttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-random-forest.ipynb
k-meanshttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-k-means.ipynb
pcahttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-pca.ipynb
gmmhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-gmm.ipynb
validationhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scikit-learn/scikit-learn-validation.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/scipy.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#statistical-inference-scipy
effect-sizehttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scipy/effect_size.ipynb
samplinghttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scipy/sampling.ipynb
hypothesishttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/scipy/hypothesis.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/pandas.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#pandas
pandashttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/pandas.ipynb
github-data-wranglinghttps://github.com/donnemartin/viz/blob/master/githubstats/data_wrangling.ipynb
Vizhttps://github.com/donnemartin/viz
Introduction-to-Pandashttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.00-Introduction-to-Pandas.ipynb
Introducing-Pandas-Objectshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.01-Introducing-Pandas-Objects.ipynb
Data Indexing and Selectionhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.02-Data-Indexing-and-Selection.ipynb
Operations-in-Pandashttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.03-Operations-in-Pandas.ipynb
Missing-Valueshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.04-Missing-Values.ipynb
Hierarchical-Indexinghttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.05-Hierarchical-Indexing.ipynb
Concat-And-Appendhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.06-Concat-And-Append.ipynb
Merge-and-Joinhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.07-Merge-and-Join.ipynb
Aggregation-and-Groupinghttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.08-Aggregation-and-Grouping.ipynb
Pivot-Tableshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.09-Pivot-Tables.ipynb
Working-With-Stringshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.10-Working-With-Strings.ipynb
Working-with-Time-Serieshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.11-Working-with-Time-Series.ipynb
Performance-Eval-and-Queryhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/pandas/03.12-Performance-Eval-and-Query.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/matplotlib.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#matplotlib
matplotlibhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/matplotlib.ipynb
matplotlib-appliedhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/matplotlib-applied.ipynb
Introduction-To-Matplotlibhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.00-Introduction-To-Matplotlib.ipynb
Simple-Line-Plotshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.01-Simple-Line-Plots.ipynb
Simple-Scatter-Plotshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.02-Simple-Scatter-Plots.ipynb
Errorbars.ipynbhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.03-Errorbars.ipynb
Density-and-Contour-Plotshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.04-Density-and-Contour-Plots.ipynb
Histograms-and-Binningshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.05-Histograms-and-Binnings.ipynb
Customizing-Legendshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.06-Customizing-Legends.ipynb
Customizing-Colorbarshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.07-Customizing-Colorbars.ipynb
Multiple-Subplotshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.08-Multiple-Subplots.ipynb
Text-and-Annotationhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.09-Text-and-Annotation.ipynb
Customizing-Tickshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.10-Customizing-Ticks.ipynb
Settings-and-Stylesheetshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.11-Settings-and-Stylesheets.ipynb
Three-Dimensional-Plottinghttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.12-Three-Dimensional-Plotting.ipynb
Geographic-Data-With-Basemaphttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.13-Geographic-Data-With-Basemap.ipynb
Visualization-With-Seabornhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/matplotlib/04.14-Visualization-With-Seaborn.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/numpy.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#numpy
numpyhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/numpy.ipynb
Introduction-to-NumPyhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.00-Introduction-to-NumPy.ipynb
Understanding-Data-Typeshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.01-Understanding-Data-Types.ipynb
The-Basics-Of-NumPy-Arrayshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.02-The-Basics-Of-NumPy-Arrays.ipynb
Computation-on-arrays-ufuncshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.03-Computation-on-arrays-ufuncs.ipynb
Computation-on-arrays-aggregateshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.04-Computation-on-arrays-aggregates.ipynb
Computation-on-arrays-broadcastinghttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.05-Computation-on-arrays-broadcasting.ipynb
Boolean-Arrays-and-Maskshttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.06-Boolean-Arrays-and-Masks.ipynb
Fancy-Indexinghttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.07-Fancy-Indexing.ipynb
Sortinghttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.08-Sorting.ipynb
Structured-Data-NumPyhttp://nbviewer.jupyter.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/numpy/02.09-Structured-Data-NumPy.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/python.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#python-data
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logginghttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/python-data/logs.ipynb
pdbhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/python-data/pdb.ipynb
unit testshttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/python-data/unit_tests.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/kaggle.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#kaggle-and-business-analyses
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titanichttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/kaggle/titanic.ipynb
churn-analysishttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/analyses/churn.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/spark.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#spark
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hdfshttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/spark/hdfs.ipynb
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/mrjob.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#mapreduce-python
mapreduce-pythonhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/mapreduce/mapreduce-python.ipynb
mrjobhttps://github.com/Yelp/mrjob
Discohttps://github.com/discoproject/disco/
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/aws.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#aws
SAWShttps://github.com/donnemartin/saws
Awesome AWShttps://github.com/donnemartin/awesome-aws
botohttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#Boto
s3cmdhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#s3cmd
s3distcphttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#s3distcp
s3-parallel-puthttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#s3-parallel-put
redshifthttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#redshift
kinesishttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#kinesis
lambdahttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/aws/aws.ipynb#lambda
https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/commands.png
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#commands
linuxhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/linux.ipynb
anacondahttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#anaconda
ipython notebookhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#ipython-notebook
githttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#git
rubyhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#ruby
jekyllhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#jekyll
pelicanhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#pelican
djangohttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/commands/misc.ipynb#django
Pyramidhttps://github.com/Pylons/pyramid
Flaskhttps://github.com/pallets/flask
Tornadohttps://github.com/tornadoweb/tornado
Bottlehttps://github.com/bottlepy/bottle
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#misc
regexhttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/misc/regex.ipynb
algorithmiahttp://nbviewer.ipython.org/github/TarrySingh/Machine-Learning-Tutorials/blob/master/misc/Algorithmia.ipynb
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#notebook-installation
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#anaconda
Anacondahttps://docs.continuum.io/anaconda/install
minicondahttp://conda.pydata.org/miniconda.html
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#dev-setup
dev-setuphttps://github.com/donnemartin/dev-setup
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#running-notebooks
here.http://ipython.org/notebook.html
https://github.com/androidcodehub/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials#curated-list-of-deeplearning-blogs
http://www.erogol.com/http://www.erogol.com/
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http://aakashjapi.com/http://aakashjapi.com/
(RSS)http://logicx24.github.io/feed.xml
https://adeshpande3.github.io/https://adeshpande3.github.io/
(RSS)https://adeshpande3.github.io/adeshpande3.github.io/feed.xml
http://advanceddataanalytics.net/http://advanceddataanalytics.net/
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http://blog.smola.orghttp://blog.smola.org
(RSS)http://blog.smola.org/rss
http://blog.sense.io/http://blog.sense.io/
(RSS)http://blog.sense.io/rss/
https://medium.com/@D33Bhttps://medium.com/@D33B
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http://www.innoarchitech.com/http://www.innoarchitech.com/
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http://alexperrier.github.io/http://alexperrier.github.io/
(RSS)http://alexperrier.github.io/feed.xml
https://algobeans.comhttps://algobeans.com
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https://aws.amazon.com/blogs/ai/https://aws.amazon.com/blogs/ai/
(RSS)https://aws.amazon.com/blogs/amazon-ai/feed/
http://www.analyticsvidhya.com/blog/http://www.analyticsvidhya.com/blog/
(RSS)http://feeds.feedburner.com/AnalyticsVidhya
https://blog.sicara.comhttps://blog.sicara.com
(RSS)https://blog.sicara.com/feed
http://peekaboo-vision.blogspot.com/http://peekaboo-vision.blogspot.com/
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http://karpathy.github.io/http://karpathy.github.io/
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http://brooksandrew.github.io/simpleblog/http://brooksandrew.github.io/simpleblog/
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http://www.andreykurenkov.com/writing/http://www.andreykurenkov.com/writing/
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http://mabrek.github.io/http://mabrek.github.io/
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https://medium.com/@awjulianihttps://medium.com/@awjuliani
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(RSS)http://auduno.tumblr.com/rss
https://avisingh599.github.io/https://avisingh599.github.io/
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http://beautifuldata.net/http://beautifuldata.net/
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https://drsimonj.svbtle.com/https://drsimonj.svbtle.com/
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http://bugra.github.io/http://bugra.github.io/
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https://medium.com/@ctnhttps://medium.com/@ctn
(RSS)https://medium.com/feed/@ctn
http://blog.cloudera.com/blog/category/data-science/http://blog.cloudera.com/blog/category/data-science/
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http://colah.github.io/archive.htmlhttp://colah.github.io/archive.html
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https://blogs.technet.microsoft.com/machinelearning/https://blogs.technet.microsoft.com/machinelearning/
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http://datalab.lu/http://datalab.lu/
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https://www.data-blogger.com/https://www.data-blogger.com/
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http://blog.insightdatalabs.com/http://blog.insightdatalabs.com/
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https://codementor.io/data-science/tutorialhttps://codementor.io/data-science/tutorial
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https://www.dataiku.com/blog/https://www.dataiku.com/blog/
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPythonhttp://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793
PyCon 2015 Scikit-learn Tutorialhttps://github.com/jakevdp/sklearn_pycon2015
Python Data Science Handbookhttps://github.com/jakevdp/PythonDataScienceHandbook
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Statistical Interference Using Computational Methods in Pythonhttps://github.com/AllenDowney/CompStats
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