machinelearning-papernote

1 Reinforment Learning:

• Courses:
  • Sutton's Book and David Silver's course
• Papers:
  • Human-Level Control through Deep Reinforcement Learning (2015-02)
  • Deep Reinforcement Learning with Double Q-learning (2015-09)
  • Continuous control with deep reinforcement learning (2015-09)
  • Prioritized Experience Replay (2015-11)
  • Dueling Network Architectures for Deep Reinforcement Learning (2015-11)
  • Asynchronous Methods for Deep Reinforcement Learning (2016-02)
  • Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (2016-03)
  • Mastering the game of Go with deep neural networks and tree search
• Books:

2 Recommendation:

• Courses:

• Papers:

  • Session base recommendation with Graph
  • Comparing Click Logs and Editorial Labels for Training Query Rewriting
  • Personalized PageRank Estimation and Search: A Bidirectional Approach
  • Learning to Rank for Information Retrieval
  • Learning to Rank using Gradient Descent
  • Related Pins at Pinterest: The Evolution of a Real-World Recommender System
  • Applying deep learning to Related Pins
  • Related Pins at Pinterest: The Evolution of a Real-World Recommender System.
  • An LSTM-Based Dynamic Customer Model for Fashion Recommendation

• Books:

  • Hooked: How to Build Habit-Forming Products

• Blog:

  • http://cseweb.ucsd.edu/~wckang/
  • How we grew from 0 to 4 million women on our fashion app, with a vertical machine learning approach

3 Deep Learning:

• Courses:
• Papers:
  • Deep Learning in Neural Networks: An Overview
• Books:
• Blog:
  • https://pechyonkin.me/
  • WILDML Artificial Intelligence, Deep Learning, and NLP
• Capsule:
  • CapsNet Visualization
  • Tutorial a capsnet for Mnist
  • Code and tutorial

3.1 GAN:

• Book:
  • Adversarial Robustness - Theory and Practice

4 Graph and Network:

• List paper:
  • awesome network embedding
• Tutorial:
  • Large Scale Network Analytics with SNAP
  • SNAP: A General Purpose Network Analysis and Graph Mining Library

5 NLP:

• https://www.kdnuggets.com/2018/05/nlp-online-courses-overview.html
• http://web.stanford.edu/class/cs224n/index.html#coursework

6 Books and Articles:

• Most Read Data Science Articles of 2017
• Rules of Machine Learning
• Unix Phylosophy

7 Gits:

• http://www.arxiv-sanity.com
• https://github.com/kjw0612/awesome-deep-vision
• http://cachestocaches.com/2017/12/favorite-deep-learning-2017/
• https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap
• http://www.wildml.com/2017/12/ai-and-deep-learning-in-2017-a-year-in-review/
• https://github.com/nashory/gans-awesome-applications#object-detectionrecognition
• https://github.com/nashory/gans-awesome-applications
• https://github.com/nashory/gans-awesome-applications#object-detectionrecognition
• https://github.com/mrgloom/Face-Swap
• https://github.com/carpedm20/awesome-torch
• https://pechyonkin.me/