Machine-Learning-Tutorials
Machine Learning Resources
A curated list of tutorials and resources on machine learning and deep learning
machine learning and deep learning tutorials, articles and other resources
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Machine Learning & Deep Learning Tutorials / Introduction | |||
Machine Learning & Deep Learning Tutorials / Interview Resources | |||
Machine Learning & Deep Learning Tutorials / Artificial Intelligence | |||
Machine Learning & Deep Learning Tutorials / Genetic Algorithms | |||
Machine Learning & Deep Learning Tutorials / Statistics | |||
Machine Learning & Deep Learning Tutorials / Useful Blogs | |||
Machine Learning & Deep Learning Tutorials / Resources on Quora | |||
Machine Learning & Deep Learning Tutorials / Kaggle Competitions WriteUp | |||
Machine Learning & Deep Learning Tutorials / Cheat Sheets | |||
Machine Learning & Deep Learning Tutorials / Classification | |||
Machine Learning & Deep Learning Tutorials / Linear Regression | |||
How should outliers be dealt with? | |||
Regularization and Variable Selection via the Elastic Net | |||
Machine Learning & Deep Learning Tutorials / Logistic Regression | |||
Machine Learning & Deep Learning Tutorials / Model Validation using Resampling | |||
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Deep Learning Frameworks | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Deep Learning Frameworks | |||
Deep Learning for Computer Vision with Caffe and cuDNN | |||
GitHub Repo | 10,330 | almost 4 years ago | |
GitHub Repo | 1,436 | 4 months ago | |
GitHub Repo | 464 | 4 months ago | |
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Feed Forward Networks | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Feed Forward Networks | |||
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Recurrent and LSTM Networks | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Recurrent and LSTM Networks | |||
LSTM vs GRU | |||
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Restricted Boltzmann Machine | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Restricted Boltzmann Machine | |||
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Autoencoders: Unsupervised (applies BackProp after setting target = input) | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Autoencoders: Unsupervised (applies BackProp after setting target = input) | |||
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Convolutional Neural Networks | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Convolutional Neural Networks | |||
Machine Learning & Deep Learning Tutorials / Deep Learning | |||
Network Representation Learning | |||
Machine Learning & Deep Learning Tutorials / Deep Learning / Network Representation Learning | |||
Machine Learning & Deep Learning Tutorials / Natural Language Processing | |||
Classification text with Bag of Words | |||
Topic Modeling | |||
Machine Learning & Deep Learning Tutorials / Natural Language Processing / Topic Modeling | |||
Series of lecture notes for probabilistic topic models written in ipython notebook | 22 | almost 10 years ago | |
Implementation of various topic models in Python | 369 | about 4 years ago | |
Machine Learning & Deep Learning Tutorials / Natural Language Processing | |||
word2vec | |||
Machine Learning & Deep Learning Tutorials / Natural Language Processing / word2vec | |||
Machine Learning & Deep Learning Tutorials / Natural Language Processing | |||
Classification Text with Bag of Words | |||
Machine Learning & Deep Learning Tutorials / Computer Vision | |||
Machine Learning & Deep Learning Tutorials / Support Vector Machine | |||
Machine Learning & Deep Learning Tutorials / Reinforcement Learning | |||
Machine Learning & Deep Learning Tutorials / Decision Trees | |||
Wikipedia Article on MARS | |||
Machine Learning & Deep Learning Tutorials / Random Forest / Bagging | |||
Machine Learning & Deep Learning Tutorials / Boosting | |||
Machine Learning & Deep Learning Tutorials / Ensembles | |||
Machine Learning & Deep Learning Tutorials / Stacking Models | |||
Machine Learning & Deep Learning Tutorials / VapnikāChervonenkis Dimension | |||
Machine Learning & Deep Learning Tutorials / Bayesian Machine Learning | |||
Machine Learning & Deep Learning Tutorials / Semi Supervised Learning | |||
Machine Learning & Deep Learning Tutorials / Optimization | |||
Machine Learning & Deep Learning Tutorials / Other Tutorials | |||
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