Aliyun AI Learning
Alibaba Cloud AI Learning,free AI machine learning courses,from beginner to advanced
Alibaba Cloud AI Learning Website, Free AI Machine Learning Courses, From Beginner to Expert
https://developer.aliyun.com/learning/roadmap/ai
5 Courses Learning Stage | 30 Online Courses 22 | Cases 424 Hours of Instruction | Teaching Videos Algorithm Principles, Framework Deep Dive, Machine Learning Practice, Image Recognition Practice, Natural Language Processing Practice, One-stop Learning of AI Technology Stage 1: Machine Learning Basics |
3 Courses | 128 Hours
Prerequisites: Basic Python programming skills (Python Learning Path), mathematical foundation (linear algebra, probability theory, mathematical statistics).
After Learning: Master the concepts of machine learning and deep learning, common machine learning algorithms, and neural network algorithms.
Stage 2: TensorFlow Framework and Common Libraries
4 Courses | 78 Hours
4 Courses | 78 Hours
Prerequisites: Basic Python programming skills, understanding of common machine learning algorithm principles and implementations, and some English reading ability.
After Learning: Master the basic usage of TensorFlow and the use of common Python scientific computing libraries.
Stage 3: Machine Learning Practice
9 Courses | 94 Hours
9 Courses | 94 Hours
Prerequisites: Understanding of common machine learning algorithms, neural networks, and the usage of TensorFlow framework and related Python libraries.
After Learning: Master practical applications of machine learning algorithms and neural networks, and the operation of Alibaba Cloud Machine Learning PAI platform.
Stage 4: Natural Language Processing Practice
7 Courses | 67 Hours
7 Courses | 67 Hours
Prerequisites: Understanding of neural networks, and the usage of TensorFlow framework and related Python libraries.
After Learning: Master practical applications of machine learning/deep learning technologies in the field of natural language processing (NLP).
Stage 5: Image Recognition Practice
7 Courses | 57 Hours
7 Courses | 57 Hours
Prerequisites: Understanding of neural networks, and the usage of TensorFlow framework and related Python libraries.
After Learning: Master practical applications of machine learning/deep learning technologies in the field of image recognition processing.
Prerequisites for Learning: Familiarity with neural networks, understanding of TensorFlow framework and usage of related Python libraries.
Skills to Master After Learning: Practical applications of machine learning/deep learning technologies in image recognition and processing.
Skills to Master After Learning: Practical applications of machine learning/deep learning technologies in image recognition and processing.