DataScienceAI Course List | 机器学习、深度学习与自然语言处理领域推荐的课程列表

AI | 人工智能

  • 2018-英特尔-人工智能学生套件 #Course#: 通过我们为软件开发人员、数据科学家和学生制作的免费课程学习人工智能理论并跟随动手练习。这些课程涵盖人工智能论题,并探讨在个人计算机和服务器工作站中利用英特尔 ® 处理器的工具和优化的库。
  • stanford-cs-221-artificial-intelligence: VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  • 2019-微软人工智能教育与学习共建社区: 本社区是微软亚洲研究院(Microsoft Research Asia,简称 MSRA)人工智能教育团队创立的人工智能教育与学习共建社区。在教育部指导下,依托于新一代人工智能开放科研教育平台,微软亚洲研究院研发团队和学术合作部将为本社区提供全面支持。我们将在此提供人工智能应用开发的真实案例,以及配套的教程、工具等学习资源,人工智能领域的一线教师及学习者也将分享他们的资源与经验。

DataScience & Statistics

Machine Learning | 机器学习

Deep Learning

  • 2016-Deep Learning by Google #Course#: In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets.
  • 2017-CS 20SI: TensorFlow for Deep Learning Research #Course#: This course will cover the fundamentals and contemporary usage of the TensorFlow library for deep learning research. We aim to help students understand the graphical computational model of TensorFlow, explore the functions it has to offer, and learn how to build and structure models best suited for a deep learning project.
  • DeepLearning AI #Course#: Most of the library is quite well tested since many students have used it to complete the Practical Deep Learning for Coders course. However it hasn't been widely used yet outside of the course, so you may find some missing features or rough edges. Personal notes can be found here; 关联的课件、代码等资源可以查看这里
  • 2018-Deep Learning Specialization #Course#: Deep Learning is transforming multiple industries. This five-course specialization will help you understand Deep Learning fundamentals, apply them, and build a career in AI.
  • 2018-Stanford CS230: Deep Learning: In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. 百度网盘,j2vp
  • 2019-MIT 6.S191 Introduction to DeepLearning #Course#: MIT's official introductory course on deep learning methods with applications in medicine, and more!
  • 2021-Applied Deep Learning #Course#: This is a two-semester-long course primarily designed for graduate students.

Reinforcement Learning

  • 2018-Deep Reinforcement Learning Course: Deep Reinforcement Learning Course is a free series of blog posts and videos 🆕 about Deep Reinforcement Learning, where we'll learn the main algorithms, and how to implement them with Tensorflow.

NLP | 自然语言处理

Industrial Applications | 行业应用

Autonomous Driving | 自动驾驶

Last modified 1yr ago