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Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
30,836 ratings

About the Course

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....

Top reviews

MA

Jan 28, 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 糖心vlog官网观看.

AA

Apr 30, 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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3951 - 3975 of 5,842 Reviews for Supervised Machine Learning: Regression and Classification

By Youwei Z

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Nov 25, 2023

fundamentals are truly great.

By yoss n

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Oct 26, 2023

super amazing! Thanks andrew!

By Cay D

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Sep 9, 2023

Great machine learning course

By C S J

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Jul 6, 2023

andrew neg is a great teacher

By Ayush S

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Jun 14, 2023

Outstanding teaching loved it

By Noman S

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Apr 17, 2023

Very good method of teaching.

By Harsh V T

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Mar 25, 2023

best course I have ever done

By 19 徐 徐

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Mar 21, 2023

非常丰富的基础机械学习内容，就算非本科系的人也很容易理解。

By JANA A A A

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Mar 16, 2023

i really enjoyed learning SML

By Miao H

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Jan 30, 2023

Very interesting and helpful!

By Agustin N

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Jan 29, 2023

Very good! Clear explanations

By Nuno D C

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Jan 3, 2023

A well and thought out course

By Karthik P

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Dec 14, 2022

Great for building foundation

By Clément N

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Nov 10, 2022

This course was just perfect!

By AABID I S

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Oct 19, 2022

awresome course by andrew ng

By Saurabh T

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Oct 11, 2022

Very informative and helpful

By Ale S

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Aug 25, 2022

Andrew Ng is the best teacher

By Mahmoud A

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Jul 24, 2022

One Of The Best Courses Ever

By Janice C

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Jul 2, 2022

Prefect course for beginners

By Reza S

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Aug 28, 2025

You Are the best dear Andrew

By Dinesh B

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Aug 2, 2025

Best course so far taken!!!!

By Rajarshi C

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May 30, 2025

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By Rhitwik P

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Apr 4, 2025

Outstanding for fundamentals

By Marwan E D

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Mar 31, 2025

Very instructive and amusing

By Orapin P

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Mar 3, 2025

Lecturer is super excellent.