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

4.9
stars
31,517 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.

WB

May 24, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

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5176 - 5200 of 5,959 Reviews for Supervised Machine Learning: Regression and Classification

By Bikash K

•

May 19, 2023

LOVE IT

By 无恶不作丶蔡徐坤

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May 19, 2023

Perfect

By indriana n

•

Apr 5, 2023

amazing

By Vatsal S

•

Apr 3, 2023

niceeee

By Vladimir B

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Mar 26, 2023

Supper!

By davidwangca

•

Feb 19, 2023

Super!!

By Anas H

•

Feb 14, 2023

love it

By Sebastian S

•

Nov 19, 2022

love it

By Abdelatif H

•

Oct 30, 2022

Thanks

By Mohammed A

•

Sep 21, 2022

ممتازه

By Mariam L

•

Aug 31, 2022

perfect

By Lasha L

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Aug 20, 2022

exelent

By Motez M

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Aug 4, 2022

so good

By 胡金榜

•

Jul 15, 2022

great!!

By Seong H P

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Jul 15, 2022

Awesome

By Raman C

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Jun 30, 2022

awesome

By Jagrut T

•

Aug 11, 2025

Thanks

By Hakia S

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Apr 2, 2025

使我受益良多

By Κωνσταντίνα Δ

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Feb 2, 2025

Great!

By Alizay Y

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Jan 2, 2025

thanks

By Noor A A ( n

•

Dec 20, 2024

Thanks

By Marco T Á C

•

Oct 24, 2024

Superb

By Amit A

•

Dec 15, 2023

Great.

By Sarfaraz A K

•

Dec 5, 2023

amaing