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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：

2151 - Supervised Machine Learning: Regression and Classification 的 2175 个评论（共 6,053 个）

创建者 Kamyar A

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Dec 14, 2022

Great Course for beginners with no previous knowledge in ML and little proficiency in Python

创建者 Ali A

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Aug 16, 2022

Great course, though it is basic but it builds a very good foundation for future advanced ML

创建者 Arslan A

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Jul 21, 2022

Very nice and detailed course to learn how machine learning algorithms work with mathematics

创建者 Daniel T

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Jan 24, 2026

superb and measured approach to imparting the elementary details that form Machine Learning

创建者 Mohammad G

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Nov 8, 2025

Andrew ng is the best in this field. Knowledge sharing is a valuable technique that he has.

创建者 Suresh G

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Aug 16, 2025

Very good introduction and explanation of cost functions for Linear and Logistic Regression

创建者 Ramu B

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Jul 2, 2025

It was an amazing month-long journey with Andrew Ng. Those optional labs were instrumental.

创建者 Leonardo K M

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May 21, 2025

It just made it possible to develop my undergraduate thesis, without it, I'd never done it.

创建者 Sebastian T

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May 20, 2025

I came to a great understanding of Machine Learning Concepts on a fundamental Level. 10/10!

创建者 MOHAMMAD T K

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Apr 3, 2025

I recommend this course to everyone interested in understanding how machine learning works.

创建者 Jason M

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Sep 25, 2024

Andrew is a gifted teacher, on top of being a brilliant student himself. Excellent course!

创建者 Sanjib S

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May 19, 2024

Clear explanation, excellent labs for learning, nice question and answers and good learning

创建者 Davide P

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Apr 11, 2024

Excellent introduction to the fundamentals of ML, simple to follow and clear to understand.

创建者 Mohammad T K

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Apr 5, 2024

It was super interactive and there is no way anyone can finish the course without learning.

创建者 Fabricio L

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Feb 27, 2024

INCREÍBLEEEEE CURSOOOO. I love you Andrew, you are and incredible teacher and a genious. :D

创建者 Sana U

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Dec 22, 2023

This course is very helpful for me, I learned a lot of from this and experienced in python.

创建者 Mazvydas P

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Sep 3, 2023

Great introductory course. Andrew Ng presents material in a concise, easy to follow manner.

创建者 M.Huzaifa M

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Aug 30, 2023

Very Very good course massive knowledge about linear regression such a informative course.

创建者 MS. J K

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Aug 4, 2023

Thank you for offering this course for me and i learned a lot, one of the best courses ever

创建者 M S

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Jul 25, 2023

Masha' Allah an excellent course and with it is from a basic to professional type of course

创建者 Adebayo E

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Jun 28, 2023

This is my starting point and I'm very grateful for the opportunity to learn form the best.

创建者 Shahbaz K

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Mar 4, 2023

This was so good for freshman and you will be able to understand basic things of this field

创建者 Ricardo R

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Dec 26, 2022

The professor is extremely clear in his explanations and the labs are appropiattely complex

创建者 Michail V

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Dec 11, 2022

To the point, greatly taught Machine Learning course, for both beginners and intermediates.

创建者 YASWANTH S R Y

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Nov 2, 2022

It was great experience and have got a good understanding of the machine learning concepts.