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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
31,517 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

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.

WB

May 24, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

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4626 - 4650 of 5,960 Reviews for Supervised Machine Learning: Regression and Classification

By Victor M

•

Aug 3, 2023

Muy emocionante

By ahmed k

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Jul 13, 2023

Amazing course!

By אבינעם ב

•

Jun 7, 2023

Great course!!

By Đoàn K

•

May 28, 2023

greatest course

By Daniel .

•

Apr 24, 2023

Amazing course!

By Mostafa S E

•

Apr 10, 2023

Amazing course!

By Untitled

•

Apr 4, 2023

Awesome course!

By Prakash N

•

Feb 28, 2023

amazing course.

By yy

•

Feb 18, 2023

Amazing course!

By fernando s

•

Feb 14, 2023

excelente curso

By Eldred L

•

Jan 12, 2023

Awesome course!

By SUPATH D

•

Jan 10, 2023

Awesome Course!

By Radovan M

•

Nov 24, 2022

Just fantastic!

By Iandro R

•

Nov 18, 2022

Great and clear

By Joshi L

•

Oct 29, 2022

Muy buen curso

By anubhavdipsite

•

Oct 26, 2022

Amazing course

By Muhammad M

•

Sep 15, 2022

Fruitful course

By tariq s

•

Sep 11, 2022

perfect course

By Mohamed B

•

Sep 7, 2022

very wonderful

By Atharv P

•

Sep 5, 2022

awesome course

By Lucky C

•

Aug 27, 2022

Andrew Ng 我的男神！

By IFEANYICHUKWU F O

•

Aug 10, 2022

Very intuitive!

By Ramkumar

•

Aug 6, 2022

The best course

By Abhishek M

•

Jul 20, 2022

amazing course!

By Robert K

•

Jul 13, 2022

Very well done.