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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
30,880 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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.

DB

May 31, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

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3326 - 3350 of 5,846 Reviews for Supervised Machine Learning: Regression and Classification

By Sohail A

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Jun 29, 2023

It was a very effective and informative course

By 2K21-CO-454 S

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Jun 21, 2023

Prof. Andrew is just a marvelous instructor!!!

By Muhammad H A

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May 14, 2023

Loved the learning experience. Easy to follow.

By K. D K C

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Apr 26, 2023

Excellent course and the content is very good.

By Emanuel b

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Apr 24, 2023

Very good material, exercises and explanations

By Ivan D

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Apr 18, 2023

Very good introduction to supervised learning!

By Dolrie S

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Apr 2, 2023

its good to know the hint in the assigment lab

By Chanthorn H

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Mar 29, 2023

This is beautiful course for machine Learning.

By realDNA

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Jan 28, 2023

very good lesson for machine learning learners

By Yixuan L

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Jan 14, 2023

excellent beginner lessons, concise and clear.

By Addisu M

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Dec 4, 2022

I gained lot of experience through this course

By Zeyad H

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Oct 26, 2022

Thank you for all of these powerful knowledge

By Hariharan S

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Oct 15, 2022

One of the best course to learn from 糖心vlog官网观看

By Ricardo M

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Oct 4, 2022

This course is very well presented and guided.

By Mumbai g

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Sep 26, 2022

the teching method is very nice, and i like it

By Sahil

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Sep 14, 2022

Very good foundational course for starting ML

By Abhishek S Y

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Aug 28, 2022

best course for ML begineers. 100% recommended

By Tahmidul A S

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Aug 1, 2022

Detailed course with mathematical explanations

By Ruchi S

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Jul 8, 2022

Thank you so much for making it easy to learn.

By Xuezhou L

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Jun 21, 2022

Very excellent course to recap ml foudation.

By Hojiwak Y

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Jun 21, 2025

It was amazing course thank you courser team.

By Jaskirat S

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Jun 14, 2025

Amazing course. Explanations were very clear.

By Vibhor G

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Feb 26, 2025

Great course for building a strong foundation

By Amos P

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Jan 11, 2025

It is well structured and easy to understand!

By Jessica A

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Jan 10, 2025

Blessed a course like this exists. Thank you.