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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

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.

AM

Jul 16, 2022

It is the Best Course for Supervised Machine Learning!Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

筛选依据：

2726 - Supervised Machine Learning: Regression and Classification 的 2750 个评论（共 5,942 个）

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 A 2

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Jul 10, 2022

Amazing course as expected

Thank you Coursera and DeepLearning.AI

创建者 Phuong H

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Jul 5, 2022

It's a amazing course. Thanks to Professor Andrew Ng and the team!

创建者 Renzo A

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Sep 24, 2025

Very good course. It provides the foundations and good examples .

创建者 PRIYANSHU R

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Jun 12, 2025

A great course which starts from basics and taught me everything.

创建者 Sai K

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Jul 11, 2024

really good explanations and very good interactive labs. Loved it

创建者 Rabia Ç

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Mar 10, 2024

Thank you for course. I learned a lot of things from this course.

创建者 Javed S

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Dec 29, 2023

Andrew Ng is an instructor who wants you to succeed. Enough said.

创建者 matin r

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Dec 7, 2023

Very clear explanations, exactly the best. Andrew NG is the best!

创建者 Mohammad S

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Nov 18, 2023

I think this is the best way to get started with Machine Learning

创建者 Omar Z

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Nov 1, 2023

This was very interesting and adapted for me (software engineer)

创建者 Fizal M

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Oct 4, 2023

This is by far the best training course on ML I have come across.

创建者 Shirsendu M

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Aug 6, 2023

exceptionally good course in this specialization , just loved it!

创建者 Testing_ac_01

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Jul 20, 2023

Thank you Sir andrew Ng , now I can develop my AI skill with you

创建者 Huy Đ V

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May 22, 2023

This course is excellent. It gives me an overview about my field.

创建者 Hossein b

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Apr 25, 2023

This course is in the best form and the best way it should be...

创建者 Abhijeet P

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Apr 7, 2023

Great course but the quizzes need to be more challenging I think.

创建者 Aryan D

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Jan 1, 2023

Explanations and concepts are quite clear and easy to understand.

创建者 Ahmad A

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Dec 10, 2022

Labs are a bit hard but hard fun learning the course nevertheless