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MachineLearningTutorials
machine learning and deep learning tutorials, articles and other resources
https://github.com/ujjwalkarn/MachineLearningTutorials
Last synced: 3 days ago
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Resources on Quora
 Michael Hochster's Answers
 Machine Learning FAQs on Quora
 Most Viewed Machine Learning writers
 Data Science Topic on Quora
 William Chen's Answers
 Ricardo Vladimiro's Answers
 Storytelling with Statistics
 Data Science FAQs on Quora
 Storytelling with Statistics
 Data Science Topic on Quora
 Michael Hochster's Answers
 Ricardo Vladimiro's Answers

Deep Learning
 Torch Cheatsheet
 Deep Autoencoders Tutorial
 Denoising Autoencoders
 Stacked Denoising Autoencoders
 Understanding CNN for NLP
 Stanford Notes
 JavaScript Library (Browser Based) for CNNs
 Using CNNs to detect facial keypoints
 Deep learning to classify business photos at Yelp
 Interview with Yann LeCun  Kaggle
 Visualising and Understanding CNNs
 Awesome Graph Embedding
 Network Representation Learning Papers
 fast.ai  Practical Deep Learning For Coders
 fast.ai  Cutting Edge Deep Learning For Coders
 A curated list of awesome Deep Learning tutorials, projects and communities
 Deep Learning Papers Reading Roadmap
 Lots of Deep Learning Resources
 Understanding Natural Language with Deep Neural Networks Using Torch
 Stanford Deep Learning Tutorial
 Deep Learning FAQs on Quora
 Google+ Deep Learning Page
 Recent Reddit AMAs related to Deep Learning
 Where to Learn Deep Learning?
 Deep Learning nvidia concepts
 Video Lectures Oxford 2015
 Deep Learning Software List
 Hacker's guide to Neural Nets
 Top arxiv Deep Learning Papers explained
 Geoff Hinton Youtube Vidoes on Deep Learning
 Awesome Deep Learning Reading List
 Deep Learning Comprehensive Website
 deeplearning Tutorials
 AWESOME! Deep Learning Tutorial
 Deep Learning Basics
 Intuition Behind Backpropagation
 Stanford Tutorials
 Train, Validation & Test in Artificial Neural Networks
 Artificial Neural Networks Tutorials
 Neural Networks FAQs on Stack Overflow
 Deep Learning Tutorials on deeplearning.net
 Neural Networks and Deep Learning Online Book
 Introduction to Neural Machine Translation with GPUs (part 1)  neuralmachinetranslationgpuspart2/), [Part 3](https://devblogs.nvidia.com/parallelforall/introductionneuralmachinetranslationgpuspart3/)
 Deep Speech: Accurate Speech Recognition with GPUAccelerated Deep Learning
 Torch vs. Theano
 dl4j vs. torch7 vs. theano
 Deep Learning Libraries by Language
 Theano
 Website
 Speeding up your Neural Network with Theano and the gpu  theano)
 Theano Tutorial
 Good Theano Tutorial
 Logistic Regression using Theano for classifying digits
 MLP using Theano
 CNN using Theano
 RNNs using Theano
 LSTM for Sentiment Analysis in Theano
 DBNs using Theano
 Torch
 Torch ML Tutorial
 Intro to Torch
 Machine Learning using Torch Oxford Univ  csml2015)
 Torch Internals Overview
 Deep Learning for Computer Vision with Caffe and cuDNN
 Website
 Stanford Tensorflow for Deep Learning Research Course
 Learning TensorFlow GitHub Repo
 Benchmark TensorFlow GitHub
 Awesome TensorFlow List
 Android TensorFlow Machine Learning Example
 Creating Custom Model For Android Using TensorFlow
 A Quick Introduction to Neural Networks
 Implementing a Neural Network from scratch  fromscratch)
 Basic ANN Theory
 Role of Bias in Neural Networks
 Choosing number of hidden layers and nodes  layerperceptronmlparchitecturecriteriaforchoosingnumberofhidde?lq=1),[3](http://stackoverflow.com/questions/9436209/howtochoosenumberofhiddenlayersandnodesinneuralnetwork/2#)
 Backpropagation in Matrix Form
 ANN implemented in C++  AI Junkie
 Simple Implementation
 NN for Beginners
 Regression and Classification with NNs (Slides)
 Another Intro
 Recurrent Neural Net Tutorial Part 1  neuralnetworkstutorialpart2implementingalanguagemodelrnnwithpythonnumpyandtheano/), [Part 3](http://www.wildml.com/2015/10/recurrentneuralnetworkstutorialpart3backpropagationthroughtimeandvanishinggradients/), [Code](https://github.com/dennybritz/rnntutorialrnnlm/)
 NLP RNN Representations
 The Unreasonable effectiveness of RNNs  rnn), [Python Code](https://gist.github.com/karpathy/d4dee566867f8291f086)
 Intro to RNN
 An application of RNN
 Optimizing RNN Performance
 Simple RNN
 AutoGenerating Clickbait with RNN
 Machine Translation using RNN (Paper)
 Using RNN to create onthefly dialogue (Keras)
 Understanding LSTM Networks
 LSTM explained
 Beginner’s Guide to LSTM
 LSTM vs GRU
 Recursive Neural Tensor Network (RNTN)
 Deep Learning for Visual Q&A  LSTM  CNN  qa)
 Computer Responds to email using LSTM  Google
 LSTM dramatically improves Google Voice Search  shorttermmemorydramaticallyimprovesgooglevoiceetcnowavailabletoabillionusers/)
 Recursive Neural Network (not Recurrent)
 Beginner's Guide about RBMs
 Introduction to RBMs
 Hinton's Guide to Training RBMs
 Deep Belief Networks Tutorial
 Andrew Ng Sparse Autoencoders pdf
 An Intuitive Explanation of Convolutional Neural Networks
 Intro to CNNs
 Another Good Tutorial
 fast.ai  Practical Deep Learning For Coders
 Where to Learn Deep Learning?
 Top arxiv Deep Learning Papers explained
 Basic ANN Theory
 An application of RNN
 Using CNNs to detect facial keypoints
 Deep learning to classify business photos at Yelp
 Deep Learning Implementation Tutorials  Keras and Lasagne
 Sequence Learning using RNN (Slides)

Support Vector Machine
 How does SVM Work  Comparisons
 A tutorial on SVMs
 Practical Guide to SVC
 Introductory Overview of SVMs
 Highest Voted Questions about SVMs on Cross Validated
 Help me Understand SVMs!
 SVM in Layman's terms
 SVMs > ANNs  areadvantagesofartificialneuralnetworksoversupportvectormachines), [Another Comparison](http://www.svms.org/anns.html)
 Trees > SVMs
 Kernel Logistic Regression vs SVM
 Logistic Regression vs SVM  vslogisticregression), [3](https://www.quora.com/SupportVectorMachines/WhatisthedifferencebetweenLinearSVMsandLogisticRegression)
 Variable Importance from SVM
 LIBSVM
 Intro to SVM in R
 What are Kernels in ML and SVM?
 Intuition Behind Gaussian Kernel in SVMs?
 Platt's Probabilistic Outputs for SVM
 Platt Calibration Wiki
 Why use Platts Scaling
 Classifier Classification with Platt's Scaling
 What are Kernels in ML and SVM?
 Intuition Behind Gaussian Kernel in SVMs?

Introduction
 Machine Learning Course by Andrew Ng (Stanford University)
 Curated List of Machine Learning Resources
 Indepth introduction to machine learning in 15 hours of expert videos
 An Introduction to Statistical Learning
 List of Machine Learning University Courses
 Dive into Machine Learning
 A curated list of awesome Machine Learning frameworks, libraries and software
 A curated list of awesome data visualization libraries and resources.
 An awesome Data Science repository to learn and apply for real world problems
 The Open Source Data Science Masters
 Machine Learning FAQs on Cross Validated
 Machine Learning algorithms that you should always have a strong understanding of
 Difference between Linearly Independent, Orthogonal, and Uncorrelated Variables
 List of Machine Learning Concepts
 Slides on Several Machine Learning Topics
 MIT Machine Learning Lecture Slides
 Comparison Supervised Learning Algorithms
 Learning Data Science Fundamentals
 Machine Learning mistakes to avoid
 Statistical Machine Learning Course
 Twitter's Most Shared #machineLearning Content From The Past 7 Days
 Grokking Machine Learning
 A curated list of awesome data visualization libraries and resources.
 Learning Data Science Fundamentals
 AI/ML YouTube Courses
 Machine Learning for Software Engineers
 Dive into Machine Learning
 A curated list of awesome data visualization libraries and resources.
 An awesome Data Science repository to learn and apply for real world problems
 Indepth introduction to machine learning in 15 hours of expert videos

Interview Resources
 41 Essential Machine Learning Interview Questions (with answers)
 How can a computer science graduate student prepare himself for data scientist interviews?
 How do I learn Machine Learning?
 FAQs about Data Science Interviews
 What are the key skills of a data scientist?
 The Big List of DS/ML Interview Resources
 How can a computer science graduate student prepare himself for data scientist interviews?
 What are the key skills of a data scientist?

Artificial Intelligence
 Awesome Artificial Intelligence (GitHub Repo)
 UC Berkeley CS188 Intro to AI  HSakPTM)
 Programming Community Curated Resources for learning Artificial Intelligence
 MIT 6.034 Artificial Intelligence Lecture Videos  engineeringandcomputerscience/6034artificialintelligencefall2010/)
 edX course  Klein & Abbeel
 Udacity Course  Norvig & Thrun
 TED talks on AI

Genetic Algorithms
 Genetic Algorithms Wikipedia Page
 Simple Implementation of Genetic Algorithms in Python (Part 1)
 Genetic Algorithms vs Artificial Neural Networks
 Genetic Algorithms Explained in Plain English
 Genetic Programming
 Genetic Alogorithms vs Genetic Programming (Quora)  arethedifferencesbetweengeneticalgorithmsandgeneticprogramming)

Statistics
 Stat Trek Website  A dedicated website to teach yourselves Statistics
 Statistics for Hackers  Slides  @jakevdp  Slides by Jake VanderPlas
 Online Statistics Book  An Interactive Multimedia Course for Studying Statistics
 What is a Sampling Distribution?
 AP Statistics Tutorial
 Statistics and Probability Tutorial
 Matrix Algebra Tutorial
 What is an Unbiased Estimator?
 Goodness of Fit Explained
 What are QQ Plots?
 OpenIntro Statistics  Free PDF textbook
 Statistics and Probability Tutorial
 Matrix Algebra Tutorial

Useful Blogs
 Edwin Chen's Blog  A blog about Math, stats, ML, crowdsourcing, data science
 The Data School Blog  Data science for beginners!
 ML Wave  A blog for Learning Machine Learning
 Andrej Karpathy  A blog about Deep Learning and Data Science in general
 Colah's Blog  Awesome Neural Networks Blog
 Alex Minnaar's Blog  A blog about Machine Learning and Software Engineering
 Statistically Significant  Andrew Landgraf's Data Science Blog
 Simply Statistics  A blog by three biostatistics professors
 Yanir Seroussi's Blog  A blog about Data Science and beyond
 fastML  Machine learning made easy
 Trevor Stephens Blog  Trevor Stephens Personal Page
 no free hunch  kaggle  The Kaggle Blog about all things Data Science
 A Quantitative Journey  outlace  learning quantitative applications
 r4stats  analyze the world of data science, and to help people learn to use R
 Variance Explained  David Robinson's Blog
 AI Junkie  a blog about Artificial Intellingence
 Deep Learning Blog by Tim Dettmers  Making deep learning accessible
 J Alammar's Blog  Blog posts about Machine Learning and Neural Nets
 Adam Geitgey  Easiest Introduction to machine learning
 r4stats  analyze the world of data science, and to help people learn to use R

Random Forest / Bagging
 FAQs about Random Forest  forest)
 How to tune RF parameters in practice?
 Measures of variable importance in random forests
 Compare Rsquared from two different Random Forest models
 OOB Estimate Explained  RF vs LDA
 Evaluating Random Forests for Survival Analysis Using Prediction Error Curve
 Why doesn't Random Forest handle missing values in predictors?
 How to build random forests in R with missing (NA) values?
 Obtaining knowledge from a random forest
 Some Questions for R implementation  preprocessingisneededbeforepredictionusingfinalmodelofrandomfore), [3](http://stackoverflow.com/questions/17059432/randomforestpackageinrshowserrorduringpredictioniftherearenewfact)

Kaggle Competitions WriteUp

Cheat Sheets

Classification
 Does Balancing Classes Improve Classifier Performance?
 When to choose which machine learning classifier?
 What are the advantages of different classification algorithms?
 ROC and AUC Explained  yo))
 An introduction to ROC analysis
 Simple guide to confusion matrix terminology
 Does Balancing Classes Improve Classifier Performance?

Decision Trees
 What is Deviance in context of Decision Trees?
 Wikipedia Page  Lots of Good Info
 FAQs about Decision Trees
 Brief Tour of Trees and Forests
 Tree Based Models in R
 How Decision Trees work?
 Weak side of Decision Trees
 Thorough Explanation and different algorithms
 What is entropy and information gain in the context of building decision trees?
 How do decision tree learning algorithms deal with missing values?
 Using Surrogates to Improve Datasets with Missing Values
 Good Article
 Are decision trees almost always binary trees?
 Pruning Decision Trees
 Discover structure behind data with decision trees  Grow and plot a decision tree to automatically figure out hidden rules in your data
 CART vs CTREE
 Comparison of complexity or performance
 CHAID vs CART  treescartvschaid.html)
 Good Article on comparison
 Recursive Partitioning Wikipedia
 CART Explained
 How to measure/rank “variable importance” when using CART?
 Pruning a Tree in R
 Does rpart use multivariate splits by default?
 FAQs about Recursive Partitioning
 party package in R
 Show volumne in each node using ctree in R
 How to extract tree structure from ctree function?
 Wikipedia Artice on CHAID
 Basic Introduction to CHAID
 Good Tutorial on CHAID
 Wikipedia Article on MARS
 Bayesian Learning in Probabilistic Decision Trees
 Probabilistic Trees Research Paper
 How Decision Trees work?
 Slides Related to Decision Trees

Linear Regression
 Assumptions of Linear Regression  isacompletelistoftheusualassumptionsforlinearregression)
 Linear Regression Comprehensive Resource
 Applying and Interpreting Linear Regression
 What does having constant variance in a linear regression model mean?
 Difference between linear regression on y with x and x with y
 Is linear regression valid when the dependant variable is not normally distributed?
 Dummy Variable Trap  Multicollinearity
 Dealing with multicollinearity using VIFs
 Interpreting plot.lm() in R
 How to interpret a QQ plot?
 Interpreting Residuals vs Fitted Plot
 How should outliers be dealt with?
 Elastic Net

Logistic Regression
 Logistic Regression Wiki
 Geometric Intuition of Logistic Regression
 Obtaining predicted categories (choosing threshold)
 Residuals in logistic regression
 Difference between logit and probit models
 Pseudo R2 for Logistic Regression  tocalculatepseudor2fromrslogisticregression), [Other Details](http://www.ats.ucla.edu/stat/mult_pkg/faq/general/Psuedo_RSquareds.htm)
 Guide to an indepth understanding of logistic regression

Model Validation using Resampling
 Resampling Explained
 Partioning data set in R
 Implementing holdout Validaion in R  dataframeintotestingand.html)
 Cross Validation
 How to use crossvalidation in predictive modeling
 Training with Full dataset after CV?
 Which CV method is best?
 Variance Estimates in kfold CV
 Is CV a subsitute for Validation Set?
 Choice of k in kfold CV
 CV for ensemble learning
 kfold CV in R
 Good Resources
 Preventing Overfitting the Cross Validation Data  Andrew Ng
 Overfitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
 CV for detecting and preventing Overfitting
 How does CV overcome the Overfitting Problem
 Bootstrapping
 Why Bootstrapping Works?
 Good Animation
 Example of Bootstapping
 Understanding Bootstapping for Validation and Model Selection
 Cross Validation vs Bootstrap to estimate prediction error  validation vs .632 bootstrapping to evaluate classification performance](http://stats.stackexchange.com/questions/71184/crossvalidationorbootstrappingtoevaluateclassificationperformance)
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling
 How to use crossvalidation in predictive modeling

Natural Language Processing
 word2vec, DBN, RNTN for Sentiment Analysis
 A curated list of speech and natural language processing resources
 Understanding Natural Language with Deep Neural Networks Using Torch
 tfidf explained
 The Stanford NLP Group
 NLP from Scratch  Google Paper
 Word Vectors Kaggle Tutorial Python  nlptutorial/details/part3morefunwithwordvectors)
 Kaggle Tutorial Bag of Words and Word vectors  nlptutorial/details/part2wordvectors), [Part 3](https://www.kaggle.com/c/word2vecnlptutorial/details/part3morefunwithwordvectors)
 Topic Modeling Wikipedia
 **Probabilistic Topic Models Princeton PDF**
 LDA Wikipedia
 What is a good explanation of Latent Dirichlet Allocation (LDA)?
 **Introduction to LDA**  boydgraberandphilipresnik.html)
 The LDA Buffet  Intuitive Explanation
 Your Guide to Latent Dirichlet Allocation (LDA)
 Difference between LSI and LDA
 Original LDA Paper
 alpha and beta in LDA
 Intuitive explanation of the Dirichlet distribution
 topicmodels: An R Package for Fitting Topic Models
 Topic modeling made just simple enough
 Online LDA  onlinelatentdirichletallocationwithapachespark.html)
 LDA in Scala  dirichletallocationinscalapartiithecode.html)
 Segmentation of Twitter Timelines via Topic Modeling
 Topic Modeling of Twitter Followers
 Gaussian LDA for Topic Models with Word Embeddings
 Google word2vec
 word2vec Tutorial
 A closer look at Skip Gram Modeling
 Skip Gram Model Tutorial  tutorialpartiithecontinuousbagofwordsmodel.html)
 Making sense of word2vec
 word2vec explained on deeplearning4j
 Quora word2vec
 Other Quora Resources  isthedifferencebetweentheBagofWordsmodelandtheContinuousBagofWordsmodel), [3](https://www.quora.com/IsskipgramnegativesamplingbetterthanCBOWNSforword2vecIfsowhy)
 How string clustering works
 Levenshtein distance for measuring the difference between two sequences
 Text clustering with Levenshtein distances
 Stanford Named Entity Recognizer (NER)
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Language learning with NLP and reinforcement learning
 What would Shakespeare say (NLP Tutorial)
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Word Vectors Kaggle Tutorial Python  nlptutorial/details/part3morefunwithwordvectors)
 Making sense of word2vec
 Quora word2vec
 Other Quora Resources  isthedifferencebetweentheBagofWordsmodelandtheContinuousBagofWordsmodel), [3](https://www.quora.com/IsskipgramnegativesamplingbetterthanCBOWNSforword2vecIfsowhy)
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Kaggle Tutorial Bag of Words and Word vectors  nlptutorial/details/part2wordvectors), [Part 3](https://www.kaggle.com/c/word2vecnlptutorial/details/part3morefunwithwordvectors)
 What would Shakespeare say (NLP Tutorial)
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Bag of Words Model Wiki
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Classification Text with Bag of Words
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
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 Named Entity Recognition: Applications and Use Cases Towards Data Science
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 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Interesting Deep Learning NLP Projects Stanford
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science
 Named Entity Recognition: Applications and Use Cases Towards Data Science

Computer Vision

Optimization
 Optimization Algorithms in Support Vector Machines
 Mean Variance Portfolio Optimization with R and Quadratic Programming
 Algorithms for Sparse Optimization and Machine Learning
 Optimization Algorithms in Machine Learning
 Optimization Algorithms for Data Analysis
 Video Lectures on Optimization
 The Interplay of Optimization and Machine Learning Research
 Hyperopt tutorial for Optimizing Neural Networks’ Hyperparameters
 Hyperopt tutorial for Optimizing Neural Networks’ Hyperparameters

Reinforcement Learning
 RL Tutorial Part 1  LearningPart2/)

Boosting
 Boosting for Better Predictions
 Boosting Wikipedia Page
 Introduction to Boosted Trees  Tianqi Chen
 Gradiet Boosting Wiki
 Guidelines for GBM parameters in R  tosetthegbmparameters)
 Meaning of Interaction Depth  doesinteractiondepthmeaningbm)
 Role of n.minobsinnode parameter of GBM in R
 GBM in R
 FAQs about GBM
 GBM vs xgboost
 xgboost tuning kaggle
 xgboost vs gbm
 xgboost survey
 Practical XGBoost in Python online course (free)
 AdaBoost Wiki
 AdaBoost Sparse Input Support
 adaBag R package
 Tutorial
 CatBoost Documentation
 Benchmarks
 GitHub Project
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 xgboost tuning kaggle
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
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 CatBoost vs. Light GBM vs. XGBoost
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 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost
 CatBoost vs. Light GBM vs. XGBoost

Ensembles
 Wikipedia Article on Ensemble Learning
 Kaggle Ensembling Guide
 The Power of Simple Ensembles
 Ensemble Learning Intro
 Ensemble Learning Paper
 Ensembling models with R  regressionmodels), [Intro to Ensembles in R](http://www.vikparuchuri.com/blog/introtoensemblelearninginr/)
 Ensembling Models with caret
 Bagging vs Boosting vs Stacking
 Good Resources  Kaggle Africa Soil Property Prediction
 Boosting vs Bagging
 Resources for learning how to implement ensemble methods
 How are classifications merged in an ensemble classifier?

Stacking Models

Vapnik–Chervonenkis Dimension

Bayesian Machine Learning

Semi Supervised Learning

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