An AI engineer Prepares / 算法工程师自我修养

1. NTU_Probability-I-II(台湾大学，叶丙成， 顽想学概率一，二)

• 概率一 ✔️
• 概率二 ✔️

2. MachineLearing-Hsuan-Tien-Lin（机器学习基石&技法，台湾大学，林轩田）

• 机器学习基石：上 , 下 ✔️

3. Probabilistic Graphical Models, Stanford University

• Probabilistic Graphical Models 1: Representation ✔️

5. CMU_PGM_Eric Xing, Probabilistic Graphical Models

• Probabilistic Graphical Models

6. EE364

• EE364a: Convex Optimization I

7. Machine Learning, Andrew Ng

• Machine Learning ✔️

8. CS229

• CS229: Machine Learning ✔️

9. CS231n

• CS231n: Convolutional Neural Networks for Visual Recognition ✔️

10. Deep-Learning-Specialization, Andrew Ng

• Neural Networks and Deep Learning ✔️
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization ✔️
• Structuring Machine Learning Projects ✔️
• Convolutional Neural Networks ✔️
• Sequence Models ✔️

11. Mathematics for Machine Learning

• Linear Algebra ✔️
• Multivariate Calculus ✔️
• PCA ✔️

12. Python for Everybody

• Getting Started with Python ✔️
• Python Data Structures ✔️
• Using Python to Access Web Data ✔️

14. CS294-112

• CS 294-112, Deep Reinforcement Learning

17. Hands-on Introduction to Linux Commands and Shell Scripting

• Hands-on Introduction to Linux Commands and Shell Scripting ✔️

18. Advanced Machine Learning 专项课程

• Introduction to Deep Learning ✔️
• How to Win a Data Science Competition: Learn from Top Kagglers ✔️

19. Programming in C++: A Hands-on Introduction 专项课程

• C++ Basics: Selection and Iteration ✔️
• C++ Basic Structures: Vectors, Pointers, Strings, and Files ✔️
• C++ Object Basics: Functions, Recursion, and Objects ✔️
• Object-Oriented C++: Inheritance and Encapsulation ✔️

21. Applied Data Science with Python 专项课程

• Introduction to Data Science in Python ✔️

22. 数字信号处理

• 数字信号处理 ✔️

24. Learn English: Intermediate Grammar

• Perfect Tenses and Modals ✔️

25. Fundamentals of Digital Image and Video Processing

• Fundamentals of Digital Image and Video Processing

26. Machine Learning

• Machine Learning

27. Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital ✔️

28. TensorFlow in Practice

• Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning ✔️
• Convolutional Neural Networks in TensorFlow ✔️
• Natural Language Processing in TensorFlow ✔️
• Sequences, Time Series and Prediction ✔️

29. AI For Everyone

• AI For Everyone ✔️

30. Julia Scientific Programming

• Julia Scientific Programming ✔️

31. GPU Programming 专项课程

• Introduction to Concurrent Programming with GPUs
• Introduction to Parallel Programming with CUDA
• CUDA at Scale for the Enterprise
• CUDA Advanced Libraries

32. Computer Vision Specialization

• Computer Vision Basics

33. Discrete Optimization

• Discrete Optimization

34. Fundamentals of Reinforcement Learning

• Fundamentals of Reinforcement Learning

35. CS224W: Machine Learning with Graphs

• CS224W: Machine Learning with Graphs

36. Generative Adversarial Networks (GANs)

• Build Basic Generative Adversarial Networks (GANs) ✔️
• Build Better Generative Adversarial Networks (GANs) ✔️
• Apply Generative Adversarial Networks (GANs) ✔️