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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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32,078 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：

2751 - Supervised Machine Learning: Regression and Classification 的 2775 个评论（共 6,053 个）

创建者 Harsh J

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May 23, 2023

it is without any doubts the best machine learning course available

创建者 ROHITH M

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Mar 31, 2023

Exceptional content, very easy to understand and very knowledgeable

创建者 Uday B K

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Mar 5, 2023

Thank you, Andrew Ng and team for delivering such an amazing course

创建者 AKASH M

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Dec 14, 2022

very nice and student friendly course and simple to understandable

创建者 rookie11121

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Oct 29, 2022

Awesome step by step learning. Thanks for the hand held experience

创建者 阮方

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Oct 3, 2022

easy to understand and get the skiils to implement regression model

创建者 Bright E

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Jul 13, 2022

Instructor simlified every concept and made it easy to understand.

创建者 Thiago P d A

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Jan 18, 2026

Ótimo curso, explica muitas coisas importantes em machine learning

创建者 Harsh A

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Jan 1, 2026

Great Course , Clears a lot of basics that books and papers don't.

创建者 Arfath P

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Oct 24, 2025

well designed and good level of depth and breath of subject matter

创建者 John S

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Sep 25, 2025

Excellent organization of the material and presentation by Andrew.

创建者 Tushar C

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Jul 15, 2025

from this course i learned many more things and it really help me.

创建者 Ivan I

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Nov 15, 2024

This resource is very useful and easy to understand for beginners.

创建者 Harsh K

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Aug 8, 2024

the labs are more interesting then the theory, i loved this course

创建者 Aarav J

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Jul 2, 2024

It was great to learn from him and make all concepts crystal clear

创建者 Minta F

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Apr 18, 2024

This is one of the greatest and well explained courses of all time

创建者 Abhijit K

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Aug 16, 2023

Professional course. Taught really well. Great step to start in ML

创建者 Mangesh T

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Aug 11, 2023

good teaching by Sir Andrew Ng optional labs are extremely helpful

创建者 Shashwat S

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Jun 27, 2023

Really loved Andrew Ng sir's teaching style. So easy to understand

创建者 Hilmy A

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Jun 6, 2023

Great Explanation. The Optional Labs add more value to the course.

创建者 Swayam S

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May 27, 2023

The course is very well structured and easy to understand. Thanks!

创建者 Zulqrnain A

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Feb 21, 2023

Learnt a lot to enhance my Regression and Classification knowledge

创建者 John A E R

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Nov 13, 2022

Useful and practical. It is a great insight into machine learning.

创建者 Jimena M M

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Nov 10, 2022

Really useful to get first insight on Supervised machine learning.

创建者 Karim T

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Jul 10, 2022

Amazing course as expected

Thank you Coursera and DeepLearning.AI