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

4.9
stars
30,502 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

MA

Jan 27, 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 Coursera.

AA

Apr 29, 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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4876 - 4900 of 5,780 Reviews for Supervised Machine Learning: Regression and Classification

By Mudit r S

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Oct 5, 2024

excellent

By Hazel L

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Oct 1, 2024

very good

By 金恒

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Sep 27, 2024

very nice

By Odiljonov R

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Sep 22, 2024

very good

By Abhishek P s

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Aug 20, 2024

fantastic

By BENJAMÍN E A

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Aug 14, 2024

Muy bueno

By Aswin S K

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Aug 7, 2024

Excellent

By MARZOUGUI H

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Aug 6, 2024

excellent

By 郑求文

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Jul 28, 2024

通俗易懂，深入浅出

By Anushka p

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Jul 28, 2024

Fantastic

By Koki K

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Jul 27, 2024

Perfect!!

By 나우진

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Jul 25, 2024

very good

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Jul 24, 2024

very good

By mohamed m

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Jul 18, 2024

excellent

By ADITYA G

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Jul 3, 2024

amazing!!

By Mo M

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Jul 2, 2024

Excellent

By Juan F C D

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May 24, 2024

Excellent

By Gargi S

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Mar 26, 2024

awesome!!

By 高田優希

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Feb 15, 2024

bery good

By Arfa

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Jan 30, 2024

very cool

By Ayoub A

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Jan 28, 2024

trés joli

By Aldo N

•

Jan 24, 2024

The best!

By Mohamed E

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Jan 23, 2024

Excelente

By Anjali A S

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Jan 18, 2024

very good

By Anoushka P

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Jan 4, 2024

Great one