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Andrew Ng Machine Learning Course

Professor Andrew Ng of Stanford University’s classic introductory machine learning course has been studied by millions of people around the world.

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Overview

Website introduction

The machine learning course taught by Andrew Ng is the world’s most classic introductory AI course, with a cumulative number of students exceeding 5 million. After a comprehensive update in 2022, it uses Python and TensorFlow for teaching, which is more in line with current AI industry practices.

This course has helped countless people take their first steps into AI learning. Today, as artificial intelligence reshapes all walks of life, understanding the basic principles of machine learning has become an essential quality for technicians and managers.

Core learning content

  • supervised learning: Linear regression, logistic regression, neural network
  • unsupervised learning: Clustering algorithm, anomaly detection, recommendation system
  • Practical skills: Model evaluation, regularization, bias and variance
  • Getting started with deep learning: Multi-layer neural network, TensorFlow practice

Why recommended

Ng’s teaching ability is recognized in the industry – he explains complex mathematical concepts in an easy-to-understand manner. This course helps you understand that AI is not black box magic, but a technology with clear mathematical principles and engineering practices. After mastering these basics, you can better evaluate and select AI tools, and even participate in the development of AI products.

Suitable for whom

  • Learners with zero knowledge of AI and machine learning
  • Product managers and managers who want to understand the principles of AI technology
  • Developers who are preparing to switch careers in the AI ​​field

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