Tutorials
449 items from ujjwalkarn/machine-learning-tutorials ★18,265
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Your Guide to Latent Dirichlet Allocation medium.com
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CART (Classification and Regression Trees) en.wikipedia.org
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Boosting en.wikipedia.org
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AdaBoost en.wikipedia.org
, Python Code
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Clare Corthell datasciencemasters.org
The Open Source Data Science Masters
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Data School dataschool.io
Data science tutorials for beginners!
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Stanford Name Entity Recognizer nlp.stanford.edu
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Grokking Machine Learning manning.com
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CatBoost catboost.ai
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CS 188 ai.berkeley.edu
, Lecture Videos, 2
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MIT 6.034 Artificial Intelligence Lecture Videos youtube.com
, Complete Course
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How to almost win Kaggle Competitions yanirseroussi.com
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Yanir Seroussi's Blog yanirseroussi.com
A blog about Data Science and beyond
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Does Balancing Classes Improve Classifier Performance? win-vector.com
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Understanding CNN for NLP wildml.com
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Implementing LSTM from scratch wildml.com
, Python/Theano code
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Theano Introduction wildml.com
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Recurrent Neural Net Tutorial Part 1 wildml.com
, Part 2, Part 3, Code
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Implementing a Neural Network from scratch wildml.com
, Code
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Regularization and Variable Selection via the Elastic Net web.stanford.edu
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Andrew Ng Sparse Autoencoders pdf web.stanford.edu
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Video Lectures on Optimization videolectures.net
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Should all Machine Learning be Bayesian? videolectures.net
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Variance Explained varianceexplained.org
David Robinson's Blog
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A Quick Introduction to Neural Networks ujjwalkarn.me
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Stanford Tutorials ufldl.stanford.edu
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Stanford Deep Learning Tutorial ufldl.stanford.edu
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Udacity Course | Norvig & Thrun udacity.com
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Trevor Stephens Blog trevorstephens.com
Trevor Stephens Personal Page
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The Big List of DS/ML Interview Resources towardsdatascience.com
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Named Entity Recognition: Applications and Use Cases- Towards Data Science towardsdatascience.com
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CatBoost vs. Light GBM vs. XGBoost towardsdatascience.com
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AWESOME! Deep Learning Tutorial toptal.com
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Deep Learning Blog by Tim Dettmers timdettmers.com
Making deep learning accessible
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Twitter's Most Shared #machineLearning Content From The Past 7 Days theherdlocker.com
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Difference between Linearly Independent, Orthogonal, and Uncorrelated Variables terpconnect.umd.edu
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Deep Learning Libraries by Language teglor.com
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Topic modeling made just simple enough tedunderwood.com
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TED talks on AI ted.com
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Basic ANN Theory takinginitiative.wordpress.com
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Introduction to VC Dimension svms.org
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Optimizing RNN Performance svail.github.io
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Backpropagation in Matrix Form sudeepraja.github.io
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How to use cross-validation in predictive modeling stuartlacy.co.uk
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Statistics and Probability Tutorial stattrek.com
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Matrix Algebra Tutorial stattrek.com
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AP Statistics Tutorial stattrek.com
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What is a Sampling Distribution? stattrek.com
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