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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
30,810 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

FA

May 25, 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 24, 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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2376 - 2400 of 5,849 Reviews for Supervised Machine Learning: Regression and Classification

By Roman M

鈥�

Feb 28, 2024

Good background knowledge. I'd supplement this with an ML focused math course.

By Txema F

鈥�

Dec 7, 2023

Excelente aproximaci贸n al machine learning para conocer todos sus fundamentos.

By Antoine C

鈥�

Nov 5, 2023

Amazing course ! This is very well designed congratulations to all the team !

By Christopher D

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Oct 16, 2023

The professor who presented it was great!!! Really liked his style of teaching

By Reyhaneh D

鈥�

Sep 18, 2023

The course content was really helpful. The course material was easy to follow.

By Rishav

鈥�

Aug 9, 2023

One of the best course I have ever came across. Absolutely beginner friendly.

By 脰MER 脰

鈥�

Jul 21, 2023

it was really a very productive course and thank you very much for this course

By BoonHwa T

鈥�

Jun 27, 2023

Excellent course instructor and materials. Very practical and easy to follow.

By Milton G

鈥�

Jun 21, 2023

Very good course and Sir Andrew did great job as an instructor in this course.

By Hamidreza K

鈥�

May 13, 2023

It really was a great course for me with perfect teaching thanks to Andrew Ng.

By Arunava s

鈥�

Apr 15, 2023

AN EXCELLENT WAY TO BEGIN YOUR WAY INTO THE MACHINE LEARNING AND DEEP LEARNING

By Satyajit S

鈥�

Feb 2, 2023

Andrew Sir is the best. This course is extremely helpful for students like me.

By Martin T M

鈥�

Dec 6, 2022

Such a phenomenal amazing course. Thank you so much Professor Andrew and team.

By Hexi P

鈥�

Oct 6, 2022

Very clear leaning plan! Details are explained very well and helped me a lot.

By Francois M

鈥�

Oct 5, 2022

Very impressed by the quality of teaching and simplicity of the explanations.

By Navin D

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Sep 14, 2022

Beatiful practice labs makes concept more understandable and easy digestible.

By Redouane D

鈥�

Aug 25, 2022

This is a great course to get started in the field of artificial intelligence.

By Martin S

鈥�

Jul 30, 2022

旮半寑 鞚挫儊鞚措嫟. 臧勱舶頃橃毵� 頃奠嫭鞚� 臧�瓴╉暅雼�. 靸濏櫆旖旊敥 臧欖潃 雮滌澊霃勳棎, 鞛� 歆滌棳歆� 旖旊摐搿� 鞚错暣毳� 雿旍毐 霃曤姅雼�. 攴� 鞏措枻 毂呺炒雼� 雮嫟瓿� 靸濌皝頃�.

By Ishan M

鈥�

Jul 28, 2022

Great course, start from very basic and helpful in building solid foundation.

By Shrirang M

鈥�

Jul 23, 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

By Deleted A

鈥�

Jul 11, 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team 糖心vlog官网观看.

By Samar

鈥�

Sep 23, 2025

Brilliant course, lovely hands-on projects, and amazing Professor Andrew Ng!!

By Sagar C

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Sep 8, 2025

this was my first AI course and it has been an incredible learning experience

By Syed I

鈥�

Aug 1, 2025

This was an amazing and beginner friendly course taught by a top-class mentor

By Per T H

鈥�

Feb 27, 2025

Excellent if you want to get an overview of state of the art machine learning