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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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31,343 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：

2326 - Supervised Machine Learning: Regression and Classification 的 2350 个评论（共 5,939 个）

创建者 brsabini g

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May 6, 2023

Highly recommended.

Basic knowledge in statistics and Python programming is helpful

创建者 Lakshminarayanan

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Mar 20, 2023

Very methodical and insightful, love the way it has been structured and explained.

创建者 Lydia P

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Oct 31, 2022

So well explained. As complicated as the topic seems, the instructor made it easy.

创建者 24AIBEA154_ABDULLAH_ZAIDI

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Sep 10, 2022

Loved the course and specially those optional lab and Andre Ng teaches very good.

创建者 Dhurika V

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Sep 3, 2022

omo!!

this is the best course for machine learning..Thank you Thank you I mean it!!

创建者 Nitesh A

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Aug 28, 2022

This course really helped me to understand machine learning concepts from scratch.

创建者 Shivam K s

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Dec 8, 2025

Had the best experience, gaining knowledge and insights about supervised learning

创建者 Nicky R

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Nov 11, 2024

Excellent Course by the best of the Best. I wish Andrew Ng was always my Teacher!

创建者 Sadegh M A

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Oct 25, 2024

Very comprehensive and practical. Try to learn vectorization well. Thanks Andrew!

创建者 Jade L

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Oct 13, 2024

It was a detailed explanation by Andrew Ng, and kudos to all who made it possible

创建者 Shahzaib K

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Sep 29, 2024

Although it is a beginner-level course, it gives you confidence and improves you.

创建者 Rohan S P

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Sep 20, 2024

Very informative! May take time to grasp but when it links, it becomes super fun!

创建者 Sal T

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Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

创建者 Abhinav S

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Feb 14, 2024

This course is great for beginners. It is the best course that you can follow....

创建者 Gerry M

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Jan 8, 2024

A terrific introduction to linear and logistic regression using machine learning.

创建者 Shailendra M

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Sep 18, 2023

Superb content, the greatest teacher, and excellent revisions. Thoroughly enjoyed

创建者 Gwri P

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Aug 10, 2023

Andrew does a fantastic job of explaining the concepts and math. Time well spent.

创建者 Isoon A

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May 6, 2023

This course is definitely the best ML course to start with. Andrew Ng is awesome!

创建者 Geetha R

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Mar 10, 2023

Andrew Ng is a great instructor! Thank you very much for offering this course....

创建者 Greg D

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Oct 2, 2022

Gets you up and running in linear and logistic regression quick and seamlessley.

创建者 Sajjad A T V 4 B C E

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Sep 19, 2022

Excellent session. Well organised for easy understanding and practicing problems.

创建者 Amar

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Sep 14, 2022

I understand the theory and was able to implement vertozied code.. feeling happy

创建者 Mario T

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Aug 21, 2022

Great revision of the contents! this is my second time I did it and I enjoyed it!

创建者 Otuazohor P

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Aug 6, 2022

It was a very detailed and down to earth introduction to machine learning for me.

创建者 John

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Aug 1, 2022

Excellent Course in every regard. Looking very forward to the next in the series!