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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：

2726 - Supervised Machine Learning: Regression and Classification 的 2750 个评论（共 6,053 个）

创建者 Luu C T

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Jan 27, 2023

Good example, I think it's hard but the course make me surprise :333

创建者 Sreejith K S

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Sep 19, 2022

Brilliant. Exceptional. Don't even think twice. Andrew NG is a God.

创建者 caleb l

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Sep 19, 2022

novel way to explain ML in all well designed, structured materials.

创建者 ZABEEB A

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Aug 1, 2022

What a smooth way of teaching . loved it at every step of learning .

创建者 Val A B

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Jun 21, 2022

Lectures were simple and the math can be easily translated to code.

创建者 Davud I

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Jan 20, 2026

good course for learning theory and gettinga general understanding

创建者 Erwan K

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Dec 16, 2025

Super explication et professeur ayant une approche tres pedagogique

创建者 Aditya S

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Dec 12, 2025

it was a wholesome course , as a beginner i was scared but loved it

创建者 Joan S C B

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Nov 5, 2025

The explanations were so clear, I can't wait to apply what I learnt

创建者 Gourav K

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Nov 2, 2025

One of the best courses out there for beginning of Machine learning

创建者 M B

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Mar 19, 2025

Probably the best ML foundation course on the planet for beginners!

创建者 Adhiraj K

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Mar 11, 2025

very beginner friendly and easy paced course, 10/10 concept cleared

创建者 Ramakrishnan J

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Feb 1, 2025

Phenomenal explanations - Math simplified. The genius of Andrew Ng.

创建者 Tanmoy P

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Jan 26, 2025

Have a great time learning about ML with Andrew NG. Thanks, Andrew

创建者 Gagan D

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Jan 15, 2025

Very good course. I am very grateful to have a teacher like Andrew.

创建者 kiana r

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Dec 8, 2024

This course was fantastic and beginner-friendly! Thank you, Andrew.

创建者 Stella

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Oct 24, 2024

Great Course to chase your opportunity in learning Machine Learning

创建者 Carlos F

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Jan 22, 2024

It's rewarding, I'm extremely satisfied and happy with this course.

创建者 Radu D

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Nov 19, 2023

Great course, really enjoyed the lectures and the labs assignments.

创建者 Jason M

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Oct 7, 2023

Great course with relevant topics and application of ML techniques.

创建者 Reza R

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Aug 26, 2023

It's excellent course that i have seen ever. Thank you a lot Dr N.J

创建者 Francisco M

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Aug 21, 2023

The contents, in my opinion, were presented clearly and pleasantly.

创建者 mahmud r

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Jul 2, 2023

Thanks Andrew Ng to present such a great course. Highly recommended

创建者 o b

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Jun 4, 2023

This is a brilliant introduction in ML. Dr. Ng is fabulous teacher.

创建者 Adrian A M S

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May 29, 2023

Insigthfull. Precise. Clear Information. Very Good Teaching Method.