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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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31,366 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：

3026 - Supervised Machine Learning: Regression and Classification 的 3050 个评论（共 5,940 个）

创建者 Bibhuti R

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Jun 21, 2023

Excellent course. Very well described and documented!!

创建者 Anees U R

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Jun 21, 2023

This course is 100% what I needed. Thank you, Coursera.

创建者 Avi K

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May 24, 2023

Nice course, Good content but also easy to follow along

创建者 Rohit S

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May 23, 2023

It was one of the best course to get an insight into ML

创建者 Varshanth G

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May 16, 2023

one of the finest teaching that i have ever listened to

创建者 Nichita C

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May 1, 2023

Inspiring and exciting beginning of the specialization!

创建者 Darshit S

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Apr 16, 2023

Really good course, understood the concepts really well

创建者 Yogesh O

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Mar 27, 2023

The Course content was nice and covered great examples.

创建者 George L

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Feb 25, 2023

Interesting and incredible course! Thank you Professor!

创建者 Kevin Q

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Feb 17, 2023

Very good course and I also love the style of teaching.

创建者 Naga S D

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Feb 14, 2023

very useful and informative for beginner level learners

创建者 Shashi K V

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Dec 26, 2022

awesome course and instructor tought in very simple way

创建者 Ayyalasomayajula A

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Oct 25, 2022

Learned a lot of new things. Nice delivery of content.

创建者 Mahmood N

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Oct 13, 2022

very nice course to get introduced to machine learning

创建者 Valeska C

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Oct 10, 2022

Muy buen curso para aprender cosas de machine learning!

创建者 Nguyen K N

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Aug 20, 2022

This course is very clear and amazingly well-designed.

创建者 Darshan M

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Aug 11, 2022

exxelent. i have learned and imlemented code in python.

创建者 Batuhan Ç

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Jul 31, 2022

The course was beginner friendly and informative a lot.

创建者 Muhammad I

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Jul 17, 2022

Great course for build intuition about Machine Learning

创建者 Sanjay N S

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Nov 16, 2025

Greate course to learn the basics of machine learninig

创建者 Aniket P

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Oct 10, 2025

Awesome design from Technical to Novice, all can learn

创建者 Manuel J M M

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Oct 5, 2025

Es un curso estupendo para entender desde dentro la IA

创建者 yamini k

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Jul 29, 2025

lot of insights, one course you need to learn about ML

创建者 cipriano s

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May 27, 2025

Excellent introductory course, I strongly recommend it

创建者 Gabor S

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Mar 10, 2025

Easy to understand and very practical hands-on course.