开源软件名称(OpenSource Name): yanshengjia/ml-road开源软件地址(OpenSource Url): https://github.com/yanshengjia/ml-road开源编程语言(OpenSource Language):
Python
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开源软件介绍(OpenSource Introduction): Machine Learning Road
Machine Learning Resources, Practice and Research.
Disclamier
The resources in this repo are only for educational purpose. Do not use resources in this repo for any form of commercial purpose.
If the author of ebook found your intelligence proprietary violated because of contents in this repo, please contact me and I will remove relevant stuff ASAP.
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
DS-GA 1008 Deep Learning
NYU
Yann LeCun , Alfredo Canziani
[Homepage] [YouTube] [Bilibili]
Deep Learning, PyTorch
Deep Learning for Human Language Processing
National Taiwan University
Hung-yi Lee
[Homepage] [YouTube]
Deep Learning, NLP
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
Dive into Deep Learning 动手学深度学习
Aston Zhang, Mu Li, Zachary C.Lipton, Alexander J.Smola
[中文版] [PDF] [Website] [GitHub] [Jupyter]
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]
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