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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：

2176 - Supervised Machine Learning: Regression and Classification 的 2200 个评论（共 6,053 个）

创建者 Reza A

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Sep 26, 2022

This course is great! I learnt a lot from it. Thank you very much for your great work. :-)

创建者 Sreyas R

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Sep 25, 2022

A great learning experience with Mr. Andrew Ng. Really enjoyed Machine Learning Algorithms

创建者 Abdullah P

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Aug 21, 2022

This was a good review and a good teacher for small details I didn't know/I forgot for me.

创建者 Jair C

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Jul 15, 2022

Excellent course with mathematical foundations and practical exercises. Highly recommended.

创建者 Ashwinn M

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Feb 24, 2026

Best course ever by Sir Andrew Ng . Thanks for this course to Coursera and DeepLearning.ai

创建者 Nikhil

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Jul 29, 2025

Sir made it so much easier to understand, everyone said ML is tough but it isn't as of now

创建者 Tapan K P .

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Feb 27, 2025

Exceptionally well taught and covers all the fundamentals. Best place for someone to begin

创建者 SRUCHEN K K

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Oct 22, 2024

The Course is so awesome that it helps in enhancing our knowledge in Machine Learning alot

创建者 Mateusz F

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Aug 28, 2024

Great course. Andrew Ng is the GOAT and makes the theoretical concepts very understandable

创建者 Tushar P

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Jun 14, 2024

Excellent course to get started with with your ML journey and get your fundamentals right.

创建者 Bhaskar M

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Apr 14, 2024

It helped me sooo much with the Actual mathematics and Engineering behind Machine Learning

创建者 John M M Z

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Aug 24, 2023

An excellent course to start in the world of ML, especially since it is focused on theory.

创建者 Ramana R

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May 8, 2023

Well-designed course to understand fundamental concepts of linear and logistic regression.

创建者 Tharindu D K

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Mar 7, 2023

superb course. I got a good understanding and a big entry to learn machine learning and AI

创建者 Faisal A S

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Jan 7, 2023

Great explanations and interesting labs. Hope to see some more advanced courses from here.

创建者 Ahmed A

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Dec 31, 2022

Every Part of this course lecture is too much understandable if you know 12th grade maths.

创建者 Tudor J

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Oct 27, 2022

A really great course that thaught me the magic behind machine learning. Worth the price!

创建者 Jacob S

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Sep 19, 2022

Amazing course, enough detail to understand what is going on but keeps the course moving.

创建者 Mohsen A

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Sep 13, 2022

Great detail explanation beside wonderful lab notes really help to underestand the course

创建者 Tomasz K

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Aug 12, 2022

Great course, plain explained topic, easy to follow steps. I highly recommend the course!

创建者 Mucahit S K

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May 25, 2025

Lessons are explained detailly. Lots of practices and the labs are very well established.

创建者 Shailendra

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Apr 19, 2025

superb guidance and ease of understanding complex topics highly recommended for beginners

创建者 Ananda D

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Jan 19, 2025

I started learning machine learning from this course and fall into more interest about AI

创建者 Francis X I

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Nov 4, 2024

The course is well explained and to the detail necessary to make you understand ML models