ML Tutorials
by ujjwalkarn · ujjwalkarn/Machine-Learning-Tutorials
A curated list of Machine Learning and Deep Learning tutorials and resources.
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Projects
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LArtificial Intelligence
ABayesian Machine Learning
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KBoosting
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GCheat Sheets
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PClassification
Computer Vision
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ADecision Trees
Deep Learning
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GIntroduction to Neural Machine Translation with GPUs (part 1)devblogs.nvidia.com
, Part 2, Part 3
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TEnsembles
Ensembling models with Ramunategui.github.io
, Ensembling Regression Models in R, Intro to Ensembles in R
Genetic Algorithms
GInterview Resources
Introduction
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TKaggle Competitions WriteUp
Linear Regression
Logistic Regression
Difference between logit and probit modelsstats.stackexchange.com
, Logistic Regression Wiki, Probit Model Wiki
Model Validation using Resampling
Cross Validation vs Bootstrap to estimate prediction errorstats.stackexchange.com
, Cross-validation vs .632 bootstrapping to evaluate classification performance
Natural Language Processing
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MNamed Entity Recognition: Applications and Use Cases- Towards Data Sciencetowardsdatascience.com
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Other Tutorials
Random Forest / Bagging
Reinforcement Learning
AResources on Quora
Semi Supervised Learning
Stacking Models
Statistics
LLearn Statistics Using Pythongithub.com
Learn Statistics using an application-centric programming approach
Online Statistics Bookonlinestatbook.com
An Interactive Multimedia Course for Studying Statistics
Support Vector Machine
Useful Blogs
EEthen's Notebook Collectiongithub.com
Continuously updated machine learning documentations (mainly in Python3). Contents include educational implementation of machine learning algorithms from scratch and open-source library usage
Vapnik–Chervonenkis Dimension