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

4.9
stars
25,432 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

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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4476 - 4500 of 4,977 Reviews for Supervised Machine Learning: Regression and Classification

By Mohammed S

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Apr 9, 2023

best

By Fitrah S

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Mar 21, 2023

cool

By Isa M I

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Mar 10, 2023

good

By Priyanshu B

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Jan 2, 2023

best

By 임재현

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Dec 26, 2022

Good

By Haoyang G

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Dec 24, 2022

绝对的好

By Priyanshu S

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Dec 19, 2022

nice

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Nov 15, 2022

good

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Nov 5, 2022

Nice

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Sep 1, 2022

good

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Aug 27, 2022

good

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good

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good

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Aug 12, 2022

good

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Jul 26, 2022

good

By Carloka B A S M

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Oct 28, 2024

...

By Onalenna E M

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Jun 7, 2024

10.

By Daniel D

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Apr 16, 2024

amz

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Mar 18, 2024

Top

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Nov 22, 2023

Top

By Ahmed A

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Jul 18, 2023

wow

By Vikas

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Oct 13, 2024

no

By Edeki M E

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Sep 29, 2024

ok

By 石天辰

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Apr 17, 2024

很好

By Putu G P A

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Apr 3, 2023

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