learning-package

A learning package for research students of computer science.

Courses

• Introduction to Algorithms by MIT [Link]
• Meachine Learning by Prof. Hung-yi Lee [Link]
• Meachine Learning by Prof. Richard Xu [Link]
• Deep Learning by Prof. Andrew Ng [Link]
• Deep Reinforcement Learning by Dr. Shusen Wang [Link]

Books

• Meachine Learning by Prof. Zhi-Hua Zhou [Chinese]
• Deep Learning by Dr. Ian Goodfellow, Prof. Yoshua Bengio, and Prof. Aaron Courville [English] [Chinese]
• Machine Learning Yearning by Prof. Andrew Ng [Chinese]
• Dive into Deep Learning by Dr. Aston Zhang, Dr. Zachary C. Lipton, Dr. Mu Li, and Dr. Alexander I. Smola [English] [Chinese]

Presentations

• AIoT as a Service: Framework, Opportunities, and Challenges by Prof. Victor C. M. Leung [Link]
• Computation Offloading and Task Scheduling on the Network Edge by Prof. Xuemin (Sherman) Shen [Link]
• Next-generation Real-time Edge System for Vehicle-Infrastructure Collaborative Autonomous Driving by Prof. Guoliang Xing [Link]
• Task Scheduling for Multi-Access Edge Computing in IRS-aided Vehicular Networks by Prof. Nei Kato [Link]
• Towards Distributed Intelligence in Future Edge Computing by Prof. Jiannong Cao [Link]
• Vehicle as a Service: How to Leverage Vehicles to Beef Up the Edge by Prof. Yuguang Fang [Link]

Research

• Google Scholar: Largest Search Engine for Academic Publishing [Link]
• dblp: Computer Science Bibliography [Link]
• Conference Partner: Information about Academic Conferences [Link]
• LetPub: Information about SCI Journals [Link]
• Academic Accelerator: Wonderful Tool to Accelerate Your Scientific Research [Link]
• Zotero: Personal Research Assistant [Link]

Coding

• Python Tutorial by Xuefeng Liao [Chinese]
• Python Documentation [English] [Chinese]
• Python for Beginners [Chinese]

Others

• Machine Learning Notes by Prof. Richard Xu [Link]