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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
32,200 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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3526 - 3550 of 6,066 Reviews for Supervised Machine Learning: Regression and Classification

By Vicki A

•

Sep 5, 2024

This course is exceptionally well designed!

By Keerthana S A

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Aug 26, 2024

Very detailed course and easy to understand

By MD S S

•

Apr 29, 2024

Best Hands-on practice so far I have tried.

By Mark R N

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Apr 5, 2024

Excellent introduction to machine learning.

By Ali A N

•

Mar 30, 2024

you could add more data science stuff to it

By PANDEY R R A

•

Nov 10, 2023

Best thing out there, Andrew ng is the goat

By Ashutosh G

•

Oct 20, 2023

it was the best course that I have attented

By Kimhong H

•

Oct 7, 2023

A friendly introduction to machine learning

By VICTOR T M

•

Sep 13, 2023

Gran detalle para una primera aproximación.

By Jayraj D

•

Aug 4, 2023

Excellent for beginners in the field of ML.

By Amirhossein S

•

Jul 25, 2023

It was so useful and great,

Many thanks,

Ames

By Gabriel R

•

Jun 5, 2023

Andrew is a great teacher. Well worth it :)

By duchoan m

•

May 30, 2023

I really love this course. 5 stars from me!

By Dr. R K G

•

May 9, 2023

Loved it. What appeared hard was made easy.

By Polina T

•

Mar 28, 2023

Great course! Good structured and detailed!

By Kshitiz S

•

Mar 26, 2023

excellent course . From basics to advance .

By Bartosz M

•

Mar 11, 2023

I really enjoyed learning from this course.

By ali n

•

Mar 3, 2023

goddamn best thank you for financial aid <3

By Yusuf S

•

Jan 19, 2023

It was so good to the new learners like me.

By Mohamed I I A

•

Oct 18, 2022

Very good introduction course to ML world.

By Mohammed Y

•

Sep 25, 2022

As simple as it can possibly be explained.

By Philip G

•

Aug 15, 2022

Andrew Ng's course on ML is a masterpiece.

By kareem n

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Aug 10, 2022

Excellent Course, Instructors, and Content.

By plitmuss

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Jul 31, 2022

Very nice introduction in machine learning!

By Basel A

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Jul 28, 2022

Literally the best beginner-friendly course