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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
30,880 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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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4401 - 4425 of 5,849 Reviews for Supervised Machine Learning: Regression and Classification

By Kunal

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Feb 19, 2024

loved the course!

By SastryERP2022 C

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Jan 8, 2024

Excellent Course.

By Sailesh S

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Dec 22, 2023

Fantastic course!

By IDEKEL S

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Nov 21, 2023

Very good course!

By Afzal H

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Nov 6, 2023

Best for starter.

By Sadia A

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Oct 3, 2023

Great experience!

By Morteza H

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Sep 27, 2023

Very informative!

By Eleonora K

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Sep 13, 2023

Very good course!

By Sanjeeda S

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Jul 14, 2023

Amazing lectures.

By amin f

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Jul 9, 2023

awesome course!!!

By Lahiru P

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Jun 21, 2023

great opportunity

By Dev A C

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Jun 2, 2023

Excellent course!

By D农ng N H

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May 14, 2023

Excellent course!

By Brandan H

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Apr 29, 2023

Very good course!

By mah'd a

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Apr 26, 2023

Excellent Course.

By Taufik S N

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Mar 31, 2023

Amazing very good

By Ma艂gorzata G

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Mar 26, 2023

excellent course!

By Carel T

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Mar 21, 2023

Excellent, Thanks

By henry l

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Dec 13, 2022

wonderful course!

By 1DS21AI001 A N A

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Nov 17, 2022

Excellent course!

By Sudip S C

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Oct 26, 2022

Excellent course!

By Chase P

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Oct 25, 2022

Wonderful course

By Yue C

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Oct 20, 2022

I love the lab !

By Sonu G

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Oct 13, 2022

Wonderful Course

By Santiago B G

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Oct 7, 2022

Amazing teaching!