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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：

4251 - Supervised Machine Learning: Regression and Classification 的 4275 个评论（共 6,053 个）

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.

创建者 Kailashpati M S

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Mar 22, 2023

Amazing experience .....

创建者 Heizly S

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Jan 12, 2023

Muy buenas explicaciones

创建者 Alessandro P

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Dec 26, 2022

It is an amazing course!

创建者 Lizhi Z

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Nov 26, 2022

Excellent and Ingenious

创建者 Gu B

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Aug 25, 2022

pretty good. Recommended

创建者 shagufta p

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Aug 24, 2022

It was very informative

创建者 Niskarsh D

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Aug 20, 2022

Course was pretty nice !

创建者 Sandarbh S

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Aug 17, 2022

Excellent Experience!!!1

创建者 Sobhan A

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Jul 31, 2022

Thanks for supporting us

创建者 Fatma A e

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Jul 22, 2022

great content thank you

创建者 Ninoslav C

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Jul 6, 2022

This course is brillant!

创建者 Tom J

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Jun 25, 2022

Top notch. Superlative.

创建者 Matias M

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Feb 14, 2026

Very clear explanations

创建者 Mohit N

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Oct 24, 2025

Feeling More Confident.

创建者 Muhammad A

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Sep 10, 2025

Nicely explained course