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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：

3776 - Supervised Machine Learning: Regression and Classification 的 3800 个评论（共 5,936 个）

创建者 Sara Y

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Aug 16, 2023

It was a great learning experience.

创建者 Talhi I

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Aug 4, 2023

Amazing, variant and understandful.

创建者 jaa j

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Jul 31, 2023

So so sooooooo gooooooooooooooddddd

创建者 Umar S

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Jul 28, 2023

it's a amazing content-based course

创建者 Soumik S

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Jul 24, 2023

It was a great learning experience.

创建者 Sufyan A

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Jul 21, 2023

very helpful and full of knowledge.

创建者 Karan M

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Jul 7, 2023

amazing mentorship by respected sir

创建者 2085_Sreekant

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May 19, 2023

very easy to understand and helpful

创建者 Upendra R

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May 16, 2023

Very good for clearing fundamental.

创建者 pouriya m

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Apr 28, 2023

It was just as perfect as expected.

创建者 Hunain A

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Mar 25, 2023

nice but audio quality was not good

创建者 Hiro

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Mar 23, 2023

Great beginning to Machine Learning

创建者 Alaa A A A

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Feb 4, 2023

Thanks! words can't really describe

创建者 Ivan S

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Jan 12, 2023

Good Material and good expalnations

创建者 ALOK K S

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Dec 2, 2022

It was phenomenal.

Kudos to the team

创建者 ilma

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Nov 18, 2022

Concepts are excellently explained.

创建者 Guantai N

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Nov 6, 2022

Great course and excellent delivery

创建者 Arash M

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Oct 20, 2022

Great service to mankind for sure!

创建者 Saurabh A

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Sep 6, 2022

Andrew Ng is the best of the best!

创建者 Aryan A P e

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Sep 6, 2022

Easy to follow and quite intuitive

创建者 Amir-Ali M

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Jul 30, 2022

Phenominal course for entering AI.

创建者 Hasibul H

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Jul 18, 2022

One of the best course of Coursera

创建者 Xinyue L

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Jul 14, 2022

A really good high level overview!

创建者 Sixto M

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Oct 30, 2025

Excelente el docente y el material

创建者 Sidney H

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Oct 14, 2025

I need to take Python & Satistics