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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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32,311 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.

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.

筛选依据：

2076 - Supervised Machine Learning: Regression and Classification 的 2100 个评论（共 6,083 个）

创建者 Emanuela A

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May 30, 2025

Very clear and complete. I use the italian translation and some words are not completely correct

创建者 Pasindu D

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Jan 5, 2025

Great for beginners like me to get a proper understanding of principles behind machine learning.

创建者 Ganga V P M

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Sep 28, 2024

Different ML models were explained in the best way possible so that any one can understand that.

创建者 Kartik P

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Sep 17, 2024

Just great to hear and learn from prof. Andrew Ng. Assignments were a learning curve themselves.

创建者 Priyansh J

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Sep 13, 2024

best course ever by deeplearning.ai and a very great instructor andrew ng sir a very good course

创建者 Johannes H

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Jan 30, 2024

I am a laymen in this field and want to understand ml. This course was perfect for this purpose!

创建者 Quân H N

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Sep 9, 2023

The course is very good, quality and so easy to understand for beginner. Thank you professor s.

创建者 Aditya M

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Jun 9, 2023

I am simply in AWE how Andrew explained the concepts in so simple and easily understandable way.

创建者 Lev F

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May 12, 2023

It's amazing if you don't mind math and Python code. Hands down the best course on ML out there.

创建者 Jees A

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May 11, 2023

Exceptional learning experience, a must have for beginners in ML, really loved the course ❤️❤️❤️

创建者 david z

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Jan 3, 2023

the sound wasn't perfect. As a international student I understood the course only with subtitles

创建者 SAADDIN N S

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Nov 3, 2022

Great Course from a great teacher. I get strong fundamentals of machine learning in this course.

创建者 Gilles M

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Sep 11, 2022

Excellent course design and content. Andrew Ng is one of the best teachers you can hope to get.

创建者 OLUWAFEMI A

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Jul 28, 2022

I love the course. Easy to follow explanations and practical examples. The Labs were very useful

创建者 Muhammad B M

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Feb 1, 2026

the course is great learned a lot of things , i cant even learn these in 4 years degree program

创建者 anthony b

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Jul 11, 2025

Amazing course with hands on learning and very practical tips from Andrew! I really enjoyed it!

创建者 Ritesh L

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Mar 9, 2025

best explanation by andew ng love the concepts and flow . learned lot about supervised learning

创建者 Abdurrahman S

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Dec 30, 2024

It's a great introductory course; enough to get you well started in solving real life problems.

创建者 Pradeep P

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Nov 7, 2024

Andrew is really good in explaining complex terms in a simple manner with really good examples.

创建者 Run B

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Aug 22, 2024

Excellent course, Andrew explained all topics very clearly. Can't wait to begin course 2 and 3!

创建者 Alessandro G

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Mar 10, 2024

Not too difficult, not too simple, just the right place to start machine learning in my opinion

创建者 Ahtasham H

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Jan 15, 2024

From class lecture to lab everything was awesome. Thanks Coursera for providing Financial Aid.

创建者 PAPPU B

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Jan 5, 2024

It's really amazing experience with Andrew Ng. His explanation was outstanding. Thank you sir.

创建者 Bhupathi R

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Aug 26, 2023

Brilliant course to get started in Machine Learning, great way of teaching. Highly recommended.

创建者 Ammar Y

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Feb 1, 2023

the course was good material was good and have nice topices and lessons was easy to understand