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Machine-Learning-Tutorials

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machine learning and deep learning tutorials, articles and other resources

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Machine Learning & Deep Learning Tutorials Awesome

Contents

Introduction

Interview Resources

Artificial Intelligence

Genetic Algorithms

Genetic Programming

Statistics

Tutorials

Useful Blogs

Resources on Quora

Kaggle Competitions WriteUp

Cheat Sheets

Classification

Linear Regression

Multicollinearity and VIF

Residual Analysis

Outliers

Elastic Net

Logistic Regression

Model Validation using Resampling

Cross Validation

Overfitting and Cross Validation

- [Preventing Overfitting the Cross Validation Data | Andrew Ng](http://ai.stanford.edu/%7Eang/papers/cv-final.pdf)
- [Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation](http://www.jmlr.org/papers/volume11/cawley10a/cawley10a.pdf)
- [CV for detecting and preventing Overfitting](http://www.autonlab.org/tutorials/overfit10.pdf)
- [How does CV overcome the Overfitting Problem](http://stats.stackexchange.com/questions/9053/how-does-cross-validation-overcome-the-overfitting-problem)

Deep Learning

Neural Machine Translation

Theano

- [Website](http://deeplearning.net/software/theano/)
- [Theano Introduction](http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/)
- [Theano Tutorial](http://outlace.com/Beginner-Tutorial-Theano/)
- [Good Theano Tutorial](http://deeplearning.net/software/theano/tutorial/)
- [Logistic Regression using Theano for classifying digits](http://deeplearning.net/tutorial/logreg.html#logreg)
- [MLP using Theano](http://deeplearning.net/tutorial/mlp.html#mlp)
- [CNN using Theano](http://deeplearning.net/tutorial/lenet.html#lenet)
- [RNNs using Theano](http://deeplearning.net/tutorial/rnnslu.html#rnnslu)
- [LSTM for Sentiment Analysis in Theano](http://deeplearning.net/tutorial/lstm.html#lstm)
- [RBM using Theano](http://deeplearning.net/tutorial/rbm.html#rbm)
- [DBNs using Theano](http://deeplearning.net/tutorial/DBN.html#dbn)
- [All Codes](https://github.com/lisa-lab/DeepLearningTutorials)
- [Deep Learning Implementation Tutorials - Keras and Lasagne](https://github.com/vict0rsch/deep_learning/)

Caffe

- [Deep Learning for Computer Vision with Caffe and cuDNN](https://devblogs.nvidia.com/parallelforall/deep-learning-computer-vision-caffe-cudnn/)

Stanford Tensorflow for Deep Learning Research Course

  - [GitHub Repo](https://github.com/chiphuyen/tf-stanford-tutorials)
- [Simplified Scikit-learn Style Interface to TensorFlow](https://github.com/tensorflow/skflow)

- [Learning TensorFlow GitHub Repo](https://github.com/chetannaik/learning_tensorflow)

- [Benchmark TensorFlow GitHub](https://github.com/soumith/convnet-benchmarks/issues/66)

- [Awesome TensorFlow List](https://github.com/jtoy/awesome-tensorflow)

- [TensorFlow Book](https://github.com/BinRoot/TensorFlow-Book)

- 

Android TensorFlow Machine Learning Example

  - [GitHub Repo](https://github.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample)
- 

Creating Custom Model For Android Using TensorFlow

  - [GitHub Repo](https://github.com/MindorksOpenSource/AndroidTensorFlowMNISTExample)  

Recurrent and LSTM Networks

Long Short Term Memory (LSTM)

- [Understanding LSTM Networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/)
- [LSTM explained](https://apaszke.github.io/lstm-explained.html)
- [Beginner’s Guide to LSTM](http://deeplearning4j.org/lstm.html)
- [Implementing LSTM from scratch](http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/), [Python/Theano code](https://github.com/dennybritz/rnn-tutorial-gru-lstm)
- [Torch Code for character-level language models using LSTM](https://github.com/karpathy/char-rnn)
- [LSTM for Kaggle EEG Detection competition (Torch Code)](https://github.com/apaszke/kaggle-grasp-and-lift)
- [LSTM for Sentiment Analysis in Theano](http://deeplearning.net/tutorial/lstm.html#lstm)
- [Deep Learning for Visual Q&A | LSTM | CNN](http://avisingh599.github.io/deeplearning/visual-qa/), [Code](https://github.com/avisingh599/visual-qa)
- [Computer Responds to email using LSTM | Google](http://googleresearch.blogspot.in/2015/11/computer-respond-to-this-email.html)
- [LSTM dramatically improves Google Voice Search](http://googleresearch.blogspot.ch/2015/09/google-voice-search-faster-and-more.html), [Another Article](http://deeplearning.net/2015/09/30/long-short-term-memory-dramatically-improves-google-voice-etc-now-available-to-a-billion-users/)
- [Understanding Natural Language with LSTM Using Torch](http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/)
- [Torch code for Visual Question Answering using a CNN+LSTM model](https://github.com/abhshkdz/neural-vqa)
- [LSTM for Human Activity Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition/)

Restricted Boltzmann Machine

Convolutional Neural Networks

Natural Language Processing

Bag of Words

word2vec

Text Clustering

Text Classification

Named Entity Recognitation

Computer Vision

Support Vector Machine

Comparisons

Software

Kernels

Probabilities post SVM

Reinforcement Learning

Decision Trees

Comparison of Different Algorithms

CART

CTREE

CHAID

MARS

Probabilistic Decision Trees

Random Forest / Bagging

Boosting

Gradient Boosting Machine

xgboost

AdaBoost

CatBoost

Ensembles

Stacking Models

Vapnik–Chervonenkis Dimension

Bayesian Machine Learning

Semi Supervised Learning

Optimization

Other Tutorials

  • For a collection of Data Science Tutorials using R, please refer to this list.

  • For a collection of Data Science Tutorials using Python, please refer to this list.

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