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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
32,148 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

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.

AP

Sep 4, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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4251 - 4275 of 6,059 Reviews for Supervised Machine Learning: Regression and Classification

By Milan J

•

Apr 20, 2024

Great course, thank you!

By Radhika M

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Dec 11, 2023

Good course, informative

By Sankha W

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Nov 24, 2023

This is the best course.

By Michal G

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Nov 8, 2023

Very good course. Thanks

By Omar A

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Oct 27, 2023

very goooooooooooooooood

By Mohammed A

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Oct 14, 2023

This course was superb!!

By Mirko J

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Oct 7, 2023

Great code practices ...

By Farshad H

•

Oct 1, 2023

That was really awesome.

By Hossam A A

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Jun 26, 2023

very useful introduction

By mahan k

•

Jun 20, 2023

best introduction course

By Jeremiah

•

May 21, 2023

Really fantastic course!

By Azim S E

•

May 1, 2023

this is wonderful course

By Julian m

•

Apr 11, 2023

Brilliant, great course.

By Kailashpati M S

•

Mar 22, 2023

Amazing experience .....

By Heizly S

•

Jan 13, 2023

Muy buenas explicaciones

By Alessandro P

•

Dec 27, 2022

It is an amazing course!

By Lizhi Z

•

Nov 26, 2022

Excellent and Ingenious

By Gu B

•

Aug 25, 2022

pretty good. Recommended

By shagufta p

•

Aug 24, 2022

It was very informative

By Niskarsh D

•

Aug 20, 2022

Course was pretty nice !

By Sandarbh S

•

Aug 17, 2022

Excellent Experience!!!1

By Sobhan A

•

Aug 1, 2022

Thanks for supporting us

By Fatma A e

•

Jul 22, 2022

great content thank you

By Ninoslav C

•

Jul 7, 2022

This course is brillant!

By Tom J

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Jun 26, 2022

Top notch. Superlative.