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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
28,426 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

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.

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.

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1851 - 1875 of 5,431 Reviews for Supervised Machine Learning: Regression and Classification

By Amir S R

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Jul 28, 2023

This course is beneficial and taught by the well-known and highly effective AI professor, Andrew Ng.

By Arad R

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May 27, 2023

this course is excelent start for this way!Mr andrew NG is a great teacher!thank you for this course

By arman c

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May 7, 2023

Great course! Although I think the tests are quite hard (a few more coding would be a good addition)

By Kesann W

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Apr 17, 2023

So much valuable information packed into an easily digestible format, with well labs and explainers.

By Barbara T

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Apr 11, 2023

well prepared and extremely clear at the same time easy to follow. makes listener to feel motivated.

By Asim N

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Feb 14, 2023

It is an amazing course, providing great details for the begineers about supervised machine learning

By Hari S

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Oct 23, 2022

Awesome. Learned the basics of supervised machine learning. Materials are so complete, encouraging.

By EE21M015 G V S R

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Aug 12, 2022

Good beginning to machine learning for beginners and a good warm up for machine learning practioners

By Jesse H

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Jul 12, 2022

An incredible course especially with the extension support of the DeepLearning.AI community mentors.

By Omid R

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Jul 9, 2022

It was perfect, but I think if instructor implement python code during his teaching, it got better.

By Shivam R

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Jun 4, 2025

Very beginner friendly and this course gives a clear intution to understand each topic very easily.

By Giuseppe

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Oct 20, 2024

Very clear. It starts from basic concepts and guides you through examples of increasing complexity.

By Akshith A

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Sep 4, 2024

Great introduction to machine learning and enhances understanding by including the maths behind it.

By Jimmy N

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Aug 8, 2024

I really love the pace and structure of this video course. Great explanation on gradient descent!!!

By SUMAY R

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Aug 26, 2023

Crisp and to the point ..without much dilution in the core principle.

The instructor was exceptional

By Zubair B

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Jul 23, 2023

A great way of teaching by the leading experts in the field of ML and efficient course structuring.

By GAURAV J

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Jul 1, 2023

i never seen that kind of teacher and sir explain everything indepth thats requried for this course

By Jamin E

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Jun 28, 2023

The Math was explained very well and each topic and every tiny bits where prioritised and explained

By Cherish J

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May 5, 2023

very good labs and teacher is very enthusiastic......highly motivated to pursue career in AI and ML

By Indula K

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Feb 12, 2023

This is a good course for learning ML with concept and theory while learning and practicing coding.

By Uttaran D

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Nov 27, 2022

Assignments could be made a little less easier. Otherwise, excellently explained by the instructor.

By Nusayba T

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Oct 9, 2022

I like that the instructor provides background on the mathematical proofs/derivation of the models

By Nitin P

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Aug 28, 2022

i am exteremly happy to take this course. this is very helpful and willing to continue more courses

By Yihalem Y T

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Jul 21, 2022

Very intuative and engagive course. This coures fortify my understing of machine lerning algorithm.

By Rahul P

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Jul 3, 2022

very nice and biginier friendly course.pratice labs have best visulization to understand concepts.