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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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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：

4826 - Supervised Machine Learning: Regression and Classification 的 4850 个评论（共 5,934 个）

创建者 Niranjana N

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Apr 1, 2023

Great course

创建者 Krish S

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Mar 18, 2023

Exceptional!

创建者 manas d

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Mar 16, 2023

very helpful

创建者 Bharath S

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Mar 7, 2023

mindblowing!

创建者 Asma E

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Mar 2, 2023

Good course.

创建者 Alireza G

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Feb 21, 2023

Great course

创建者 Dominique C

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Feb 6, 2023

just perfect

创建者 aybars d

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Jan 29, 2023

veery useful

创建者 sohan p

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Jan 25, 2023

Great course

创建者 Fady S

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Oct 13, 2022

great intro

创建者 Gunaratne V

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Oct 12, 2022

good course

创建者 AOUJANA A

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Oct 10, 2022

very useful

创建者 Subhan N

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Oct 6, 2022

Phenominal!

创建者 Ali G

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Sep 21, 2022

Magnificent

创建者 Đạt N

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Sep 5, 2022

good course

创建者 Prathima

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Sep 3, 2022

very helpful

创建者 Ehsan [ G

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Sep 1, 2022

Excellent!!!

创建者 Angelo A

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Aug 30, 2022

Great course

创建者 Ruichen z

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Aug 7, 2022

That's great

创建者 A s

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Jul 25, 2022

great course

创建者 Đạt N

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Jun 30, 2022

it's so good

创建者 Sanchit J

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Jun 29, 2022

Great Course

创建者 Caio M

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Dec 15, 2025

Muito bom!!

创建者 Bibin M

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Dec 13, 2025

very useful

创建者 Atif

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Dec 6, 2025

EXCEPTIONAL