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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：

4076 - Supervised Machine Learning: Regression and Classification 的 4100 个评论（共 5,935 个）

创建者 Gopal G

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Dec 8, 2023

Great, Interactive course..

创建者 Harshit K

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Nov 25, 2023

best course available in ML

创建者 Omer N

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Sep 10, 2023

Exceptionally great teacher

创建者 marwa o

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Jul 22, 2023

very simple and easy course

创建者 Nandan K

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Jul 20, 2023

please include some project

创建者 Muhammad H M

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Jul 10, 2023

Great concepts and learning

创建者 Aditya G

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Jul 7, 2023

really good for beginners!!

创建者 Derek 典

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May 20, 2023

easy to understand! love it

创建者 Abiton P

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May 18, 2023

best start up for beginners

创建者 Md. Z G

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May 12, 2023

Best beginner friendly one.

创建者 Vedant N

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Mar 16, 2023

It war really good course .

创建者 Hiren K

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Mar 14, 2023

Thanks Professor Andrew Ng.

创建者 Rıfat u

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Mar 13, 2023

It was a very useful course

创建者 Tianyue P

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Jan 6, 2023

Wonderful course for basics

创建者 GAURAV M

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Nov 7, 2022

Amazing learning experience

创建者 Sundar R C

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Sep 18, 2022

Good informative Course !!

创建者 MUHAMMAD A

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Aug 21, 2022

For every beginner student.

创建者 amr m

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Aug 10, 2022

iam very thankful mr andrew

创建者 Tulkin Y

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Aug 5, 2022

I really liked this course!

创建者 Felipe d L P

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Jul 8, 2022

Incredible amazing course!

创建者 Justin D

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Aug 12, 2025

great course for beginners

创建者 J L

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Aug 9, 2025

Great learning experience!

创建者 Abdullah R

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Jul 27, 2025

very fun practice for test

创建者 Hamza B

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Jul 9, 2025

great course i learnt alot

创建者 Leah H

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May 8, 2025

Andrew is a lovely person.