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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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32,290 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

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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：

3901 - Supervised Machine Learning: Regression and Classification 的 3925 个评论（共 6,079 个）

创建者 Ramsai k p

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Jun 26, 2023

A really good course for beginners

创建者 Shaktiman C

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May 24, 2023

The videos are easy to understand.

创建者 Mradul B

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May 21, 2023

Great course to start from scratch

创建者 Prabhat R

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Mar 29, 2023

Awesome lecture on regularization.

创建者 Yuxi Z

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Mar 1, 2023

This course really helps me a lot!

创建者 Ezedin M

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Jan 28, 2023

An excellent course for beginners.

创建者 Arijit G

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Nov 28, 2022

the course was absolutely awesome.

创建者 Ali A

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Nov 7, 2022

This was a flawless course for me.

创建者 Ankita R

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Oct 17, 2022

Amazing labs and lab assignments!

创建者 Ivanhoe A

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Oct 12, 2022

Excellent course, very insightful

创建者 Oleksii K

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Aug 30, 2022

The best introductory course ever.

创建者 Rahul k

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Oct 7, 2025

this course is so helpful for me.

创建者 David T

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Jul 3, 2025

A masterclass in Machine Learning

创建者 Sijan T M

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Mar 23, 2025

Its best course i have ever taken

创建者 Shivabhijit S

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Mar 16, 2025

Topics were explained Really well

创建者 Prakash

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Mar 9, 2025

Everything is explained clearly!!

创建者 Kifayatullah

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Feb 5, 2025

One of the Most important Subject

创建者 RL

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Dec 3, 2024

Learned about a lot of new things

创建者 Hamdan K

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Nov 24, 2024

A great learning resource for ML.

创建者 BONAM R

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Oct 1, 2024

Best Course for Machine Learning.

创建者 harshit r

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Jul 30, 2024

very helpful course for begineers

创建者 Haitam B

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Jul 29, 2024

thank you for this amazing course

创建者 Ishaan J

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May 10, 2024

Epic course By the GOAT Andrew NG

创建者 Eranda J

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Apr 23, 2024

Great course. Highly recommended.

创建者 ANINDYA M

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Jan 24, 2024

A great course to kick off the ML