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

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31,343 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：

2101 - Supervised Machine Learning: Regression and Classification 的 2125 个评论（共 5,936 个）

创建者 TF C

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Feb 25, 2023

A good course that is very helpful for learning the details of regression and classification.

创建者 Suman A

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Jan 12, 2023

Must learn this course for those who are interested in machine learning. Thank you Andrew Ng.

创建者 Boris P

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Dec 5, 2022

Very well explained and useful to go deep in Math and concepts behind basic Machine Learning.

创建者 HESAM

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Oct 9, 2022

Thanks a lot from all. I have been spent good times during learning this course. I love you.

创建者 Darius S h

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Nov 28, 2025

les cour sont très clair et explicite que meme un gamin de 5 ans pourais comprendre 😊👍😁❤️

创建者 Nahom T

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Jul 10, 2025

Best for beginners and skilled people to know very about the foundation of Machine learning.

创建者 Dipendra P

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Apr 14, 2025

excellent way of teaching. I have never enjoyed studying online like this before. Thank You.

创建者 Ahmed I

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Apr 12, 2025

Exceptional. Andrew has a way of breaking down things in a very accessible and clear manner.

创建者 Kalanidhi M M e

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Dec 29, 2024

Teaching makes it very easy to comprehend. Hats-off to the wonderful effort by the Professor

创建者 Farzaan D

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Jul 31, 2024

Good course some aspects about logistic and regularization can be explained in an easier way

创建者 Gustavo M

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May 22, 2024

Thanks, Andrew Ng and Team for this course, it's very very interesting that blew up my mind.

创建者 Prajwal G

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Apr 1, 2024

Tough mathematical equations are taught in most simple and elegant manner. Really impressed!

创建者 Elio D

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Dec 10, 2023

Excelente Profesor, y todo la plataforma. Es muy amigable y facilita el aprendizaje. Gracias

创建者 swarup s

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Sep 21, 2023

Mind blowing course! Its a must for everyone seeking ML as a career! Can't express in words!

创建者 Carl H

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Jul 27, 2023

Beautiful logical progression. Explained clearly and just at the right pace for absorption.

创建者 omid e

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Jul 26, 2023

very good course to start learning and educating yourself about machine learning algorithms.

创建者 Lidia S E

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Jul 26, 2023

Very good course! Well explained and full of coding examples. It does really help. Thank you

创建者 Christian M F A

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Jul 13, 2023

Absolutely amazing course, Dr. Andrew Ng could be one of the best teachers I have ever mate.

创建者 Faramarz K

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May 3, 2023

The course was great and covers all basic topics you need for understanding machine learning

创建者 Kamyar A

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Dec 14, 2022

Great Course for beginners with no previous knowledge in ML and little proficiency in Python

创建者 Ali A

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Aug 16, 2022

Great course, though it is basic but it builds a very good foundation for future advanced ML

创建者 Arslan A

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Jul 21, 2022

Very nice and detailed course to learn how machine learning algorithms work with mathematics

创建者 Mohammad G

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Nov 8, 2025

Andrew ng is the best in this field. Knowledge sharing is a valuable technique that he has.

创建者 Suresh G

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Aug 16, 2025

Very good introduction and explanation of cost functions for Linear and Logistic Regression