Tutorials
449 items from ujjwalkarn/machine-learning-tutorials ★18,265
-
-
-
Multilingual Latent Dirichlet Allocation (LDA) github.com
. (Tutorial here)
-
Neural Networks and Deep Learning neuralnetworksanddeeplearning.com
-
Deep Belief Nets for Topic Modeling github.com
-
Introduction to Deep Learning Using Python (GitHub) github.com
, Good Introduction Slides
-
-
Website tensorflow.org
-
The Unreasonable effectiveness of RNNs karpathy.github.io
, Torch Code, Python Code
-
Website deeplearning.net
-
Machine Learning Course by Andrew Ng (Stanford University) coursera.org
Renown entry-level online class with certificate. Taught by: Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera.
-
Logistic Regression en.wikipedia.org
-
LibSVM csie.ntu.edu.tw
-
Convnet.js cs.stanford.edu
-
Colah's Blog colah.github.io
Blog for understanding Neural Networks!
-
An Introduction to Statistical Learning, with Applications in R www-bcf.usc.edu
-
Torch github.com
-
Machine Learning: 2014-2015 cs.ox.ac.uk
, Code
-
Deeplearning4j deeplearning4j.org
Open-Source, Distributed, Deep Learning Library for the JVM.
-
RBMs in R github.com
-
Learning Torch GitHub Repo github.com
-
TheAnalyticsEdge edX Notes and Codes github.com
-
-
Stanford Tensorflow for Deep Learning Research Course web.stanford.edu
Stanford Course about Tensorflow from 2017 - Syllabus - Unofficial Videos
-
Hyperopt tutorial for Optimizing Neural Networks’ Hyperparameters vooban.com
Learn to slay down hyperparameter spaces automatically rather than by hand.
-
Discover structure behind data with decision trees vooban.com
Grow and plot a decision tree to automatically figure out hidden rules in your data
-
Stanford Notes vision.stanford.edu
, Codes, GitHub
-
The Stanford NLP Group nlp.stanford.edu
-
ML Compiled ml-compiled.readthedocs.io
-
Adam Geitgey medium.com
Easiest Introduction to machine learning
-
Andrej Karpathy karpathy.github.io
A blog about Deep Learning and Data Science in general
-
-
Bag of Words en.wikipedia.org
-
Deep Learning Comprehensive Website deeplearning.net
, Software
-
Visualising and Understanding CNNs cs.nyu.edu
-
fast.ai - Practical Deep Learning For Coders course.fast.ai
A code-first introduction to deep learning.
-
Understanding LSTM Networks colah.github.io
Explains the LSTM cells' inner workings, plus, it has interesting links in conclusion.
-
Android TensorFlow Machine Learning Example blog.mindorks.com
Android TensorFlow Machine Learning Example.
-
Oxford Deep Learning - video youtube.com
, Video Lectures Summer School Montreal
-
Your Guide to Latent Dirichlet Allocation medium.com
-
CART (Classification and Regression Trees) en.wikipedia.org
-
Boosting en.wikipedia.org
-
AdaBoost en.wikipedia.org
, Python Code
-
Clare Corthell datasciencemasters.org
The Open Source Data Science Masters
-
Data School dataschool.io
Data science tutorials for beginners!
-
Stanford Name Entity Recognizer nlp.stanford.edu
-
Grokking Machine Learning manning.com
-
CatBoost catboost.ai
-
CS 188 ai.berkeley.edu
, Lecture Videos, 2
-
Video Tutorial Weka youtube.com
- next page of items loading…
