/ml-road

Machine Learning Resources, Practice and Research

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Machine Learning Road

Machine Learning Resources, Practice and Research.

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

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]