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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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32,299 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

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.

AM

Jul 16, 2022

It is the Best Course for Supervised Machine Learning!Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

筛选依据：

4251 - Supervised Machine Learning: Regression and Classification 的 4275 个评论（共 6,081 个）

创建者 Yipeng L

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May 18, 2025

Very Good Lesson for me!

创建者 HUỲNH H Đ

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May 9, 2025

That is a great lesson !

创建者 SoundsForGamers

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Apr 16, 2025

Very interesting. Thanks

创建者 Vikram A

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Mar 23, 2025

Was an very great course

创建者 Mikhail T

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Mar 12, 2025

Absolutely great course!

创建者 HESED

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Feb 21, 2025

sensacional so agradecer

创建者 Kakali M

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Dec 9, 2024

experience was very nice

创建者 Kareem M

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Sep 22, 2024

Thanks for your hard job

创建者 Solomon A

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Aug 14, 2024

best course ever love it

创建者 Nguyen N

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Aug 13, 2024

Good course for beginner

创建者 Darshan A

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Aug 6, 2024

One of the best course .

创建者 Mohammed Y

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May 2, 2024

Very informative course.

创建者 Milan J

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Apr 19, 2024

Great course, thank you!

创建者 Radhika M

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Dec 11, 2023

Good course, informative

创建者 Sankha W

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Nov 23, 2023

This is the best course.

创建者 Michal G

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Nov 7, 2023

Very good course. Thanks

创建者 Omar A

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Oct 27, 2023

very goooooooooooooooood

创建者 Mohammed A

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Oct 14, 2023

This course was superb!!

创建者 Mirko J

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Oct 6, 2023

Great code practices ...

创建者 Farshad H

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Sep 30, 2023

That was really awesome.

创建者 Hossam A A

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Jun 25, 2023

very useful introduction

创建者 mahan k

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Jun 19, 2023

best introduction course

创建者 Jeremiah

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May 20, 2023

Really fantastic course!

创建者 Azim S E

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May 1, 2023

this is wonderful course

创建者 Julian m

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Apr 10, 2023

Brilliant, great course.