hacerbusrakilic/ml-road

Machine Learning Resources, Practice and Research

Machine Learning Road

Machine Learning Resources, Practice and Research.

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Courses

Course Name	Institution	Lecturer	Link	Category
Machine Learning	Coursera	Andrew Ng	[Coursera][Bilibili][Youtube]	Machine Learning
Machine Learning Foundations	National Taiwan University	Hsuan-Tien Lin	[Bilibili][Youtube]	Machine Learning
Machine Learning Techniques	National Taiwan University	Hsuan-Tien Lin	[Bilibili][Youtube]	Machine Learning
Machine Learning	Stanford	Andrew Ng	[Netease][Youtube]	Machine Learning
Deep Learning	deeplearning.ai	Andrew Ng	[Netease][Coursera]	Deep Learning
CS231n: Convolutional Neural Networks for Visual Recognition	Stanford	Fei-Fei Li	[Homepage][Youtube]	Deep Learning, Computer Vision
CS224n: Natural Language Processing with Deep Learning	Stanford	Christopher Manning	[Homepage][Youtube]	Deep Learning, NLP
Deep Learning for Natural Language Processing	Oxford University	Phil Blunsom	[Homepage][Slides]	Deep Learning, NLP
Applied Deep Learning / Machine Learning and Having It Deep and Structured	National Taiwan University	Yun-Nung Chen, Hung-Yi Lee	[Homepage][Youtube]	Machine Learning, Deep Learning
CS 20: TensorFlow for Deep Learning Research	Stanford	Chip Huyen	[Homepage][Github]	Deep Learning
CS 294: Deep Reinforcement Learning	UC Berkeley	Sergey Levine	[Homepage][Youtube]	Deep Learning, Reinforcement Learning
Neural Networks for NLP	CMU	Graham Neubig	[Homepage]	NLP, Deep Learning
Mathematics of Deep Learning	NYU	Joan Bruna	[Github]	Deep Learning
Introduction to NLP	Stanford	Dan Jurafsky, Chris Manning	[Youtube]	NLP
Text Mining and Analytics	UIUC	ChengXiang Zhai	[Coursera]	NLP
Machine Learning Crash Course with TensorFlow APIs	Google	Google	[Homepage]	Machine Learning, Tensorflow
CS230: Deep Learning	Stanford	Andrew Ng, Kian Katanforoosh	[Homepage]	Deep Learning
Intro to Deep Learning with PyTorch	Facebook AI	Facebook AI	[Udacity]	Deep Learning, PyTorch
Introduction to Deep Learning	UC Berkeley	Alex Smola, Mu Li	[Youtube][GitHub]	Deep Learning
Foundations of Machine Learning	NYU	Mehryar Mohri	[Homepage]	Machine Learning
DS1003 Machine Learning	NYU	Julia Kempe, David Rosenberg	[Homepage][Slides] [Youtube][Assignments]	Machine Learning
TensorFlow in Practice	Coursera	Laurence Moroney	[Coursera]	TensorFlow

Books

Book Name	Author	Link	Category
机器学习	周志华	[Amazon][JD]	Machine Learning
Deep Learning	Ian Goodfellow, Yoshua Bengio, Aaron Courville	[PDF][中文版]	Deep Learning
Machine Learning	Tom Mitchell	[PDF]	Machine Learning
Pattern Recogniton and Machine Learning	Christopher Bishop	[PDF][中文版]	Machine Learning
The Elements of Statistical Learning	Trevor Hastie, Robert Tibshirani, Jerome Friedman	[PDF]	Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques	Ian H. Witten, Eibe Frank	[PDF]	Data Mining
Artificial Intelligence: A Modern Approach	Sturart J. Russell, Peter Norvig	[PDF]	AI
Machine Learning: A Probabilistic Perspective	Kevin P. Murphy	[PDF]	Machine Learning
Natural Language Processing with Python	Stven Bird, Ewan Klein, Edward Loper	[PDF][Link]	NLP
Getting Started with Tensorflow	Giancarlo Zaccone	[PDF]	Tensorflow
Hands-On Machine Learning with Scikit-Learn and TensorFlow	Aurélien Géron	[PDF][Github]	Machine Learning
Deep Learning with Python	François Chollet	[PDF][Github]	Deep Learning
Probabilistic Graphical Models: Principles and Techniques	Daphne Koller, Nir Friedman	[PDF]	Probabilistic Graphical Model
Speech and Language Processing	Dan Jurafsky, James H. Martin	[Homepage][PDF]	NLP
Neural Network Methods for Natural Language Processing	Yoav Goldberg	[PDF]	NLP
统计学习方法	李航	[Amazon]	Machine Learning
Natural Language Processing	Jacob Eisenstein	[PDF]	NLP
动手学深度学习	GLUON	[PDF]	Deep Learning
Feature Engineering for Machine Learning	Alice Zheng, Amanda Casari	[PDF][译]	Machine Learning, Feature Engineering
Machine Learning Yearning	Andrew Ng	[译][在线阅读]	Machine Learning
Foundations of Machine Learning	Mehryar Mohri	[PDF][HomePage]	Machine Learning

Papers

NLP

• Tixier A J P. Notes on Deep Learning for NLP[J]. arXiv preprint arXiv:1808.09772, 2018. [Link]