Chevron Left
返回到 Supervised Machine Learning: Regression and Classification

学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
星
32,078 个评分

课程概述

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

热门审阅

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

筛选依据：

4701 - Supervised Machine Learning: Regression and Classification 的 4725 个评论（共 6,053 个）

创建者 Iandro R

•

Nov 17, 2022

Great and clear

创建者 Joshi L

•

Oct 28, 2022

Muy buen curso

创建者 anubhavdipsite

•

Oct 26, 2022

Amazing course

创建者 Muhammad M

•

Sep 14, 2022

Fruitful course

创建者 tariq s

•

Sep 10, 2022

perfect course

创建者 Mohamed B

•

Sep 6, 2022

very wonderful

创建者 Atharv P

•

Sep 5, 2022

awesome course

创建者 Lucky C

•

Aug 26, 2022

Andrew Ng 我的男神！

创建者 IFEANYICHUKWU F O

•

Aug 9, 2022

Very intuitive!

创建者 Ramkumar

•

Aug 6, 2022

The best course

创建者 Abhishek M

•

Jul 20, 2022

amazing course!

创建者 Robert K

•

Jul 12, 2022

Very well done.

创建者 Mitchell C

•

Jun 21, 2022

Amazing course!

创建者 Benedict N

•

Feb 2, 2026

Well detailed.

创建者 Mohamed Y

•

Jan 13, 2026

Amazing Course

创建者 Ashutosh P

•

Jan 10, 2026

best ml course

创建者 BOURENNANE M

•

Oct 10, 2025

very intuitive

创建者 Mohammed M M

•

Oct 3, 2025

Amazing course

创建者 Amarjeet K 1

•

Sep 6, 2025

great learning

创建者 JONAS J J C

•

Apr 29, 2025

Muy buen curso

创建者 Louis V

•

Apr 27, 2025

Great content.

创建者 AASHYA G

•

Mar 30, 2025

awesome course

创建者 Meysam H B

•

Mar 5, 2025

It is awesome!

创建者 Himanshu M

•

Feb 16, 2025

awesome course

创建者 Liu J J

•

Feb 11, 2025

内容全面，步步递推，值得学习