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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
23,866 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

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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1401 - 1425 of 4,721 Reviews for Supervised Machine Learning: Regression and Classification

By Ali S

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Jul 16, 2022

Complete materials/explanations on machine learning fundamentals.

An enjoyable course to participate.

Thanks Dr. Ng

By Abdullah N

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Sep 20, 2024

well organized material with great quality, loved the step by step approach combined with quizzes and code examples.

By He H

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Aug 13, 2024

Good for a starter, I learned the ML concepts before and it also gives me a better understanding of the ML structure

By Adnan R

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Jun 28, 2024

Very well structured course. Content was exceptional and the way coursera interface drive the course is exceptional.

By Vansh C

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Apr 21, 2024

I have never seen such amount of attention to detail in any course. This course enables me to make quality projects.

By Greg G

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Feb 8, 2024

Excellent explanation and pace. I liked the optional labs and deeper explanations of the math behind the algorithms

By Chirayu R

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Jan 22, 2024

The course was good. But the thing that really made me confuse is the unnecessary code in the last weeks assignment.

By Omar E

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Aug 30, 2023

Great for entry level with focus on understanding of concepts and getting the big picture behind the science itself.

By Yamoo T

•

Nov 27, 2022

This course is great and it a definitely suitable course that is prepared for beginners. Everyone should learn it!!!

By Barath U

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Sep 25, 2022

It is a wonderful journew with Supervised Machine learning, I am so greatful to take this ML Specialization course.

By Pooria r

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Sep 10, 2022

With all my heart and honestly, I can say that it was the best course I saw thanks a lot I appreciate it very much

By Muhammad S

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Jul 25, 2022

Best course on supervised machine learning by one of the best instructors. It is nither too simple nor too complex.

By Michelle S

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Jul 24, 2022

Excelent. The interactive examples in python make it easier to understand. Congratulations for this excelent course.

By zhifine

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Aug 1, 2024

I like this course very much! It help me go through the basic concept of machine learning quickly, It is wonderful!

By Rishipramod C

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Jul 14, 2024

I personally says it is a fantastic journey throughout my course and learnt a lot new things...Thank you sir....!!!

By TERAN C E A

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Jun 30, 2024

Excelentes explicaciones y metodologías. El instructor sabe cómo transmitir conceptos complejos de manera sencilla.

By Santosh R

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May 14, 2024

i dont have words to express my gratitude to professor Andrew Ng. This is the best course I have ever taken online.

By Paolo B

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Nov 23, 2023

Great teacher, great knowledge. Also very engaging and totally not boring. I wish to have all courses at this level

By Mark E

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Oct 12, 2023

Just the right balance of learning intuition, formal mathematics and coding to get my feet wet in machine learning.

By Sameer M

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Jul 31, 2023

I have learnt more in this course than my 4 year degree. Thank you Andrew NG and coursera for making this possible.

By June C

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Jul 14, 2023

The instructor is really inspiring. The talk with another great machine learning scientist Fei-fei is also amazing!

By Paul H

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Apr 1, 2023

Great course. Andrew Ng really makes the learning curve easier for such a subject as this. Looking forward to more.

By Yash I

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Dec 18, 2022

The course was excellent and enjoyed it.....Thanks so much....(plz add support vector machines(SVMs) to the course)

By Boris S

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Oct 11, 2022

I like this cource. I think it is done exactly right for someone who is familiar with basic math and basic python.

By Ying W

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Sep 2, 2022

Thanks a million for Andrew and the team for this amazing module! Cannot wait to finish the whole specialization!!!