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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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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：

2551 - Supervised Machine Learning: Regression and Classification 的 2575 个评论（共 6,053 个）

创建者 Sam L

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Jan 3, 2023

Great for beginners intreated in AI, but haven't really programmed before!

创建者 Ricky

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Oct 23, 2022

It's an amazing course. It's very useful to me. I like it very very much.

创建者 Min K

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Oct 22, 2022

This course covers well about linear regression and logisitic regression.

创建者 Venu m

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Oct 11, 2022

Thank you very much. Absolutely enjoyed and learned a lot in this course.

创建者 34 S

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Sep 13, 2022

The instructor explained very well and grabbed our attention in lectures.

创建者 Juan L

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Sep 12, 2022

Combined with practical assignments, everything gets more understandable.

创建者 Sandeep D

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Sep 6, 2022

Excellent course content by Andrew Ng Sir. His way of teaching is awesome.

创建者 Mehrab A

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Sep 2, 2022

it was very good course for learning regression and classification basic !

创建者 Amirhasan A

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Aug 24, 2022

This course is one of the best and I liked this course and learned so much

创建者 Uğur B

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Aug 14, 2022

Great course. Even if you are not new to ML this is a good course to take.

创建者 ahmed m a e a

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Jul 27, 2022

That's a great course.

thanks to Andrew Ng, Deeplearning.ai, and Standford.

创建者 MD. M I 1

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Sep 26, 2025

Very well structured and easy to understand lectures with practical labs.

创建者 El B S E

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Sep 26, 2025

Perfect explications and simple examples made it an easy subject to study

创建者 Dennis L

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Sep 15, 2025

Just about perfect level (for me) of theory, programming and explanation.

创建者 ps s

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Sep 3, 2025

An excellent explanation of the basics, very much needed for ML knowledge

创建者 Jiho K

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Jan 19, 2025

As a beginner, i can't imagine a better lecture to start with. Thank you.

创建者 Deleted A

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Oct 13, 2024

I really like the course. Thank you Mr.Andrew for such a wonderful course

创建者 Sandeep M

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Aug 31, 2024

Excellent coverage of essentials. Made with great care and love. Regards.

创建者 Randy O

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Aug 23, 2024

this is a nice course that will teaches you enough in this specialization

创建者 Desta G G

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Aug 1, 2024

Well built and organized sections. Easy to follow and intiutive contents.

创建者 Syfur R

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Mar 7, 2024

It was an amazing experience learning the fundamentals of ML from Andrew.

创建者 Yun X

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Dec 30, 2023

Dr Ng's ability to make difficult concepts easy to understand is amazing.

创建者 Mohammad S

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Oct 19, 2023

Very much recommended for the beginners in the world of Machine Learning!

创建者 Johnson c

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Aug 27, 2023

It is a great course to learn basic supervised Machine learning algorithm

创建者 Adriana J

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Aug 14, 2023

Es un curso muy bien presnetado y explicado para comenzar con la temática