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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：

3926 - Supervised Machine Learning: Regression and Classification 的 3950 个评论（共 6,053 个）

创建者 Cuong P C

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Feb 25, 2023

Thanks for the great instruction.

创建者 Long T B

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Dec 28, 2022

Andrew is the best ML instructor.

创建者 20131A4245 R A

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Dec 25, 2022

Knowledge gained is just Amazing.

创建者 Onwunyi C

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Oct 18, 2022

Wonderful and challenging course

创建者 Debi R

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Sep 29, 2022

it is the course for everyone...

创建者 Meysam M

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Sep 27, 2022

I appreciate it. It was awesome.

创建者 Yugal K

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Aug 16, 2022

Very informative and interactive.

创建者 Julio A L C

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Aug 6, 2022

Lovely course, I learned so much!

创建者 Birhanu G

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Aug 2, 2022

Best course for machine learning.

创建者 Syed A n

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Jul 24, 2022

Very Clear and in depth learning.

创建者 Hardy W

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Jul 21, 2022

pretty straightforward and clear!

创建者 Shruti S

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Oct 31, 2025

Can be made little kore engaging

创建者 Somaditya S

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Jul 18, 2025

very detailed and well explained

创建者 Nalin t

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Jul 8, 2025

its effective and explained well

创建者 Aymone K

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Jun 23, 2025

Fantastic course and instructor!

创建者 Amrita S

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Jun 15, 2025

so knowledgeful course thank you

创建者 Sakib J

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May 4, 2025

Andrew is a good man. Thank you!

创建者 gattu m

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Jan 20, 2025

Very good course and informative

创建者 RAHUL R

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Nov 5, 2024

First step into the ocean of AI.

创建者 Mohamed Y

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Oct 28, 2024

Thank you Andrew and coursera <3

创建者 Utsyo C

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Oct 20, 2024

Amazingly curated and presented!

创建者 James C A

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Oct 1, 2024

Very well taught in all aspects.

创建者 ISHITA M

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Sep 30, 2024

One of the best Coursera course.

创建者 Samrajya B

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Sep 28, 2024

An amazing course for beginners.

创建者 Prathamesh k

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Aug 1, 2024

well explained by the instructor