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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
24,409 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

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.

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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2276 - 2300 of 4,804 Reviews for Supervised Machine Learning: Regression and Classification

By Jimena M M

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Nov 10, 2022

Really useful to get first insight on Supervised machine learning.

By Karim A 2

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Jul 10, 2022

Amazing course as expected

Thank you Coursera and DeepLearning.AI

By Phuong H

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Jul 5, 2022

It's a amazing course. Thanks to Professor Andrew Ng and the team!

By Sai K

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Jul 11, 2024

really good explanations and very good interactive labs. Loved it

By Rabia Ç

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Mar 10, 2024

Thank you for course. I learned a lot of things from this course.

By Javed S

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Dec 30, 2023

Andrew Ng is an instructor who wants you to succeed. Enough said.

By matin r

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Dec 7, 2023

Very clear explanations, exactly the best. Andrew NG is the best!

By Mohammad S

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Nov 18, 2023

I think this is the best way to get started with Machine Learning

By Omar Z

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Nov 1, 2023

This was very interesting and adapted for me (software engineer)

By Fizal M

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Oct 4, 2023

This is by far the best training course on ML I have come across.

By Shirsendu M

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Aug 6, 2023

exceptionally good course in this specialization , just loved it!

By Testing_ac_01

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Jul 20, 2023

Thank you Sir andrew Ng , now I can develop my AI skill with you

By Huy Đ V

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May 22, 2023

This course is excellent. It gives me an overview about my field.

By Hossein b

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Apr 25, 2023

This course is in the best form and the best way it should be...

By Abhijeet P

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Apr 7, 2023

Great course but the quizzes need to be more challenging I think.

By Aryan D

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Jan 1, 2023

Explanations and concepts are quite clear and easy to understand.

By Ahmad A

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Dec 11, 2022

Labs are a bit hard but hard fun learning the course nevertheless

By Yannik S

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Nov 22, 2022

Great introduction to the topic of supervised (shallow) learning.

By Karmvir J

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Nov 20, 2022

Sir Andrew ng goat,

Simple and easy breakdown of complex concept.

By Sampanna S

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Oct 13, 2022

give clear vision and foundational knowledge of machine learning

By Piyush J

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Oct 4, 2022

very efficient learning but better if we write code from scratch

By Oleksandr K

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Sep 27, 2022

The last assignment of the course could have been more difficult.

By BHARATH T

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Sep 18, 2022

This course is the best way to start exploring machine learning.

By jason

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Aug 24, 2022

Enjoyed this course and the labs and notebooks were very helpful

By Behrouz M

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Aug 23, 2022

I had only one such teacher before and I never forgot his lesson.