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

4.9
stars
30,729 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 28, 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 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.

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4901 - 4925 of 5,818 Reviews for Supervised Machine Learning: Regression and Classification

By Yanuar Z

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Nov 3, 2024

Excellent

By Md. R H K R G

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Oct 28, 2024

very good

By M. R A

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Oct 24, 2024

Very good

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Oct 22, 2024

very good

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Oct 9, 2024

excellent

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Oct 8, 2024

Muy bueno

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Oct 5, 2024

excellent

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Oct 2, 2024

very good

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Sep 27, 2024

very nice

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very good

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Aug 21, 2024

fantastic

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Aug 15, 2024

Muy bueno

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Aug 8, 2024

Excellent

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Aug 7, 2024

excellent

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Jul 28, 2024

通俗易懂，深入浅出

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Jul 28, 2024

Fantastic

By Koki K

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Jul 27, 2024

Perfect!!

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Jul 25, 2024

very good

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very good

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Jul 18, 2024

excellent

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Jul 4, 2024

amazing!!

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Excellent

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May 25, 2024

Excellent

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Mar 26, 2024

awesome!!

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Feb 16, 2024

bery good