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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：

3501 - Supervised Machine Learning: Regression and Classification 的 3525 个评论（共 5,937 个）

创建者 Ajiroghene S O

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Apr 1, 2025

Gerat course for Machine Learning Engineer

创建者 Aditya S

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Mar 18, 2025

Best introductory course on ML I have seen

创建者 nitin r

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Dec 29, 2024

best course thanks andrew ng and stanford

创建者 Anurag P

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Nov 17, 2024

Really detailed course and well explained.

创建者 Harsh T

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Nov 10, 2024

Changed my view regarding machine learning

创建者 Dude

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Oct 6, 2024

i understand all concepts clearly thankyou

创建者 Aditya P

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Jul 16, 2024

phenomenal course especially for beginners

创建者 Helmut B

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Mar 6, 2024

Excellent introduction to Machine Learning

创建者 Maelson M

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Feb 26, 2024

Este curso é excelente para seu propósito.

创建者 SYED M T

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Jan 30, 2024

Exceptionally well explained by Dr. Andrew

创建者 JAYNIL G

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Dec 22, 2023

Best course and amazing teaching methods..

创建者 badr E

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Oct 5, 2023

Andrew Ng is one of the best teacher of AI

创建者 Babar S

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Sep 26, 2023

This is an excellent course for beginners.

创建者 Suresh C

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Sep 7, 2023

Great start for machine learning beginners

创建者 GAURAVKUMAR P P

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Jun 17, 2023

Good Content and explanation is very well.

创建者 AMIR U

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May 30, 2023

very good for supervised machine learning.

创建者 Sufyan a

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Mar 9, 2023

outstanding course designed . learned alot

创建者 Somin G

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Jan 23, 2023

Easy to understand and to the point course

创建者 Sanjib M

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Nov 16, 2022

Very nice introduction to machine learning

创建者 Daniel C J

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Nov 11, 2022

Excellent lecturer as well as the material

创建者 salhi

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Oct 15, 2022

is greatfull, thank you so much professor

创建者 Chrysante M

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Sep 15, 2022

VERY EXCELLENT COURSE! CLEARLY EXPLAINED.

创建者 Kevin A

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Aug 7, 2022

The best course I've taken in a long time!

创建者 Kleanthis M

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Aug 4, 2022

The best introductory course on ML by far!

创建者 Süleyman M P

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Jun 18, 2022

It is very basic and understandable course