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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
24,947 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

Sep 21, 2022

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

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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1326 - 1350 of 4,875 Reviews for Supervised Machine Learning: Regression and Classification

By Meghna P

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Dec 25, 2022

Its an excellent course, very interesting and the integrated labwork in jupyter notebook makes it easier for non programmers.

By umbrella

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Oct 12, 2022

The course content is very detailed, and the practice after class is also very helpful. I hope it can be subtitled in Chinese.

By Kunal

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Oct 8, 2022

It's a best beginner course for non ML learner. Andrew just nailed every lecture by giving corresponding real world cenarios

By Arya S

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Dec 8, 2024

For a high schooler like me, this is a fantastic introduction to the world of machine learning. Many thanks for your support.

By Ashmith R

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Jul 8, 2024

Just finished the first course & trust me it was the best structured and taught course on the planet for ML, props to Andrew!

By Aayush R B

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Jun 20, 2024

Learnt a lot from this course, Andrew Ng is just amazing at explaining even difficult concepts in a easy to understand manner

By Paul O

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Jan 31, 2024

I like Andrew's method of teaching. I get to learn the theory first, then apply it in the labs using code and visualizations.

By Mei A

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Aug 7, 2023

good course elaborate everything very well I love this teacher and thanks to Coursera to let me be free to learn this course

By Sandile T

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Jul 27, 2023

Learning Regression and Classification at a scientific level from the subject matter expert, coupled with real life projects.

By Silvano M

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Apr 3, 2023

Excellent course to start learning Machine Learning step by step with examples and exercices to understand better the meaning

By Mohammadreza R

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Mar 9, 2023

Wonderful instructions. Although I think its better to try the codes on a real dataset instead of made up numbers. Thank you.

By SAMPRETH S

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Oct 27, 2022

An excelent course covering the basic concepts regarding machine learning without much fuss about the mathematics behind it.

By ghazal g

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Oct 12, 2022

thank you very much for this wonderful course, i'm so greatful for the teacher, his information and his way in presentation.

By Devender S

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Sep 18, 2022

World's finest course of Machine learning. Highly recommends you to start your journey into the world of machine learning.

By Arjun S

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Mar 28, 2024

Thanks to Prof. Andrew Ny and Team. Amazing course, well structured. Enjoyed doing the course and is definitely recommended.

By Zahid H

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Mar 9, 2024

Great content to learn about the mathematical background of Supervised Learning algorithms (Linear and Logistic Regression).

By Atharva M

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Jul 29, 2023

Andrew Ng is a great instructor . Every lecture is so fundamental and crystal clear . Hands on programming lab is also great

By Mohammad E

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Jul 21, 2023

This was one of the most amazing and powerful courses I ever had. I have learned from basic to professional through details.

By Charlie A

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Jul 16, 2023

This course was awesome. It made some pretty complicated-looking stuff seem easy. I actually found the course really fun too

By DEEP N M

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Jun 25, 2023

really great way to get foot into machine learning! especially for begginers.

well designed and well explained by andrew Ng.

By Adarsh K

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Mar 5, 2023

It was just amazing. I loved the way optional labs has been designed. It really gave a practical touch the concepts learned.

By Sheraz M

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Feb 13, 2023

Excellent work, Each concept is well elaborated with real life examples. I really appreciate the efforts of the instructors.

By Irfan R

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Jan 27, 2023

Nice course. It covers the portions Linear Regression , Logistic Regression and many more topic related to them very deeply.

By Krishnendu B

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Nov 7, 2022

Really a great course to have as a beginner in Machine Learning. A very simplified explanation is there. I am very grateful.

By s4r7h4k

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Dec 8, 2024

The concepts were very well explained and even someone who is not very good with math or coding could understand them well.