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

4.9
stars
24,299 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

Sep 21, 2022

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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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By Tùng T H

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Nov 10, 2024

Excellent

By Yanuar Z

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Nov 3, 2024

Excellent

By Md. R H K R G

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Oct 27, 2024

very good

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Oct 23, 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 1, 2024

very good

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Sep 27, 2024

very nice

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Sep 22, 2024

very good

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Aug 20, 2024

fantastic

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Aug 14, 2024

Muy bueno

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Aug 7, 2024

Excellent

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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

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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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Jul 24, 2024

very good

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Jul 18, 2024

excellent

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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!!