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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
22,170 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

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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

MR

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Teaching is an art and Andrew Ng is a great artist. He explained everything in the course in the details and with examples easy to comprehend. Thanks a lot for helping thousands of students like me.

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2751 - 2775 of 4,569 Reviews for Supervised Machine Learning: Regression and Classification

By pritam s

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Sep 5, 2022

great course for basics of machine learning

By Heet P

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Aug 19, 2022

this is awesome!!!! more power to andrew sir

By Robert K

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Aug 8, 2022

Excellent detailled explanations. Well done.

By Ajit N

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Aug 6, 2022

ample amount of knowledge got for the course

By Sumitra D

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Sep 28, 2024

Happy to learn more about this opportunity.

By Brian C

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Sep 26, 2024

Excellent class, very thorough and complete

By MAURICIO O Q

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Sep 8, 2024

Nice course, its really powerfull knowledge

By Vicki A

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Sep 4, 2024

This course is exceptionally well designed!

By Keerthana S A

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Aug 26, 2024

Very detailed course and easy to understand

By MD S S

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Apr 28, 2024

Best Hands-on practice so far I have tried.

By Mark R N

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Apr 4, 2024

Excellent introduction to machine learning.

By Ali A N

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Mar 30, 2024

you could add more data science stuff to it

By PANDEY R R A

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Nov 10, 2023

Best thing out there, Andrew ng is the goat

By Ashutosh G

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Oct 19, 2023

it was the best course that I have attented

By Kim H

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Oct 7, 2023

A friendly introduction to machine learning

By VICTOR T M

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Sep 12, 2023

Gran detalle para una primera aproximación.

By Jayraj D

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Aug 3, 2023

Excellent for beginners in the field of ML.

By Ames S

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Jul 24, 2023

It was so useful and great,

Many thanks,

Ames

By Gabriel R

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Jun 5, 2023

Andrew is a great teacher. Well worth it :)

By duchoan m

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May 29, 2023

I really love this course. 5 stars from me!

By Dr. R K G

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May 8, 2023

Loved it. What appeared hard was made easy.

By Polina T

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Mar 28, 2023

Great course! Good structured and detailed!

By Kshitiz S

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Mar 26, 2023

excellent course . From basics to advance .

By Bartosz M

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Mar 11, 2023

I really enjoyed learning from this course.

By ali n

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Mar 2, 2023

goddamn best thank you for financial aid <3