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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
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.

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2451 - Supervised Machine Learning: Regression and Classification 的 2475 个评论(共 6,053 个)

创建者 Shrirang M

Jul 22, 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

创建者 Deleted A

Jul 11, 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team Coursera.

创建者 Samar

Sep 23, 2025

Brilliant course, lovely hands-on projects, and amazing Professor Andrew Ng!!

创建者 Sagar C

Sep 7, 2025

this was my first AI course and it has been an incredible learning experience

创建者 Syed I

Jul 31, 2025

This was an amazing and beginner friendly course taught by a top-class mentor

创建者 Per T H

Feb 26, 2025

Excellent if you want to get an overview of state of the art machine learning

创建者 Tatenda K

Feb 12, 2025

Well delivered and easy to understand. Totally removed all fears I had for ML

创建者 Ajay D

Jan 17, 2025

Excellent explanation. a very good course for a beginner from any background.

创建者 Abdulrhman E

Nov 17, 2024

very high quality education, andrew is the one if the best teachers out there

创建者 Jason M

Sep 19, 2024

Clear and well structured. It would be fun if the quizzes had more questions.

创建者 Rohin M

Aug 1, 2024

Superb course for intuition! Looking forward to developing my skills further!

创建者 Jonathan M C

Mar 12, 2024

Exceptional, you can see that a lot of effort involved in making this course.

创建者 Monzer H

Feb 19, 2024

Amazing course with rich information, a great start on machine learning path.

创建者 HARDIK A 2

Feb 10, 2024

great course learning a lot of things and excited for learning more in future

创建者 Anirudh L R

Aug 5, 2023

Great course content-wise. Well structured and industry appropriate syllabus.

创建者 Pratyush K

Mar 18, 2023

The course really awesome. The explanations are clear and easy to understand.

创建者 Mark T

Feb 7, 2023

Great course content with thorough and engaging explanations of the concepts.

创建者 Ryu b

Oct 11, 2022

A bit more math would be helpful, but overall this course has been excellent

创建者 anup

Aug 11, 2022

Awesome learning experience, including refreshers through the practice labs!

创建者 Dhanemkula S N N K V K

Jul 13, 2022

Good mathematical explanation how maths behind the algorithem is just awesome

创建者 Deleted A

Jun 30, 2022

Everything is explained very clearly. Thanks to Professor Andrew and Coursera

创建者 Pratik L

Oct 14, 2025

It was great course and got a good understanding and hands on practical lab.

创建者 Rashad A

Sep 15, 2025

Detailed and worth the time. This 1st course lays is solid foundation in ML.

创建者 Prince J

Jul 27, 2025

it's very good course and specially the way sir Andrew Ng teaches fantastic.

创建者 Roberto C F

Jul 6, 2025

“Great course — I really enjoyed the structure and the practical exercises.”