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yanshengjia/ml-road: Machine Learning Resources, Practice and Research

原作者: [db:作者] 来自: 网络 收藏 邀请

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 100.0%

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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