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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
22,170 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

JM

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Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

MR

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Teaching is an art and Andrew Ng is a great artist. He explained everything in the course in the details and with examples easy to comprehend. Thanks a lot for helping thousands of students like me.

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2776 - 2800 of 4,569 Reviews for Supervised Machine Learning: Regression and Classification

By Yusuf S

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Jan 18, 2023

It was so good to the new learners like me.

By Mohamed I I A

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Oct 17, 2022

Very good introduction course to ML world.

By Mohammed Y

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Sep 24, 2022

As simple as it can possibly be explained.

By Philip G

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Aug 15, 2022

Andrew Ng's course on ML is a masterpiece.

By kareem n

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Aug 9, 2022

Excellent Course, Instructors, and Content.

By plitmuss

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Jul 30, 2022

Very nice introduction in machine learning!

By Basel A

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Jul 27, 2022

Literally the best beginner-friendly course

By Richard G

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Jul 15, 2022

Fantastic introduction to machine learning.

By Yevgen P

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Jul 6, 2022

Very well structured and clearly explained!

By Abdelrhman A

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Jun 22, 2022

World-class and the best course in ML ever!

By Aditya P

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Jul 16, 2024

phenomenal course especially for beginners

By Helmut B

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Mar 6, 2024

Excellent introduction to Machine Learning

By Maelson M

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Feb 26, 2024

Este curso é excelente para seu propósito.

By SYED M T

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Jan 30, 2024

Exceptionally well explained by Dr. Andrew

By JAYNIL G

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Dec 22, 2023

Best course and amazing teaching methods..

By ETTOUSY B

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Oct 5, 2023

Andrew Ng is one of the best teacher of AI

By Babar S

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Sep 26, 2023

This is an excellent course for beginners.

By Suresh C

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Sep 8, 2023

Great start for machine learning beginners

By GAURAVKUMAR P P

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Jun 17, 2023

Good Content and explanation is very well.

By AMIR U

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May 30, 2023

very good for supervised machine learning.

By Sufyan a

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Mar 9, 2023

outstanding course designed . learned alot

By Somin G

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Jan 23, 2023

Easy to understand and to the point course

By Sanjib M

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Nov 17, 2022

Very nice introduction to machine learning

By Daniel C J

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Nov 11, 2022

Excellent lecturer as well as the material

By salhi

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Oct 15, 2022

is greatfull, thank you so much professor