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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
30,880 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

MA

Jan 28, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and 糖心vlog官网观看.

AA

Apr 30, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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1801 - 1825 of 5,849 Reviews for Supervised Machine Learning: Regression and Classification

By Aisha U

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Jul 4, 2024

This course provided a great foundation for machine learning. A perfect balance between the math and coding.

By Milad M

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Apr 23, 2024

This course is an essential for every engineer and the instructor of it is the one you cannot find anywhere.

By Mahanand Y

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Mar 17, 2024

Very well designed course. Teaches you with basics of ML. Kudos to entire Deeplearning.AI team and 糖心vlog官网观看.

By Nguy峄卬 Q P

鈥�

Jan 12, 2024

All the terms in this course are explained in an easy-to-understand way. Thus, it is insprising to me a lot.

By Rajesh S

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Nov 16, 2023

The course is explicitly for people working in Statistics or Maths with zero knowledege on Machine Learning.

By Maria B

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Oct 4, 2023

Very well done, loved it! The training has the right pace and Andrew Ng is very good explaining. Thank you!!

By Pradyun G

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Aug 21, 2023

Hats off . Never saw such a detailed course on these topics. A big shout out and thanks to professor Andrew!

By SAMUEL R

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Jul 14, 2023

I learned a lot about linear regression and logistic regression, then the cost function and gradient descent

By Milad H

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Jun 17, 2023

This course was great. I enjoyed watching Mr.Andrew NG's teaching and mathematics was so interesting for me.

By Aditya P

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Apr 14, 2023

The course was really great, it builds your mathematical skills and teaches how to implement it into coding.

By Jesse T

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Mar 6, 2023

I am new to this. I have done coding in college but this is a great step into understanding machine learning

By FABIAN G

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Feb 21, 2023

I did several IA related courses in the past but I had not found such a good teacher as Andrew NG. Thank you

By Miroslav Z

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Feb 17, 2023

Excellent explanation of supervised machine learning with very useful practice examples. Highly recommended!

By Vivek J

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Nov 25, 2022

Just amazing. Thank you for providing this for free. Thanks to Prof Andrew ng for fueling my passion for ML.

By Tejas K

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Sep 29, 2022

Very well-planned course curriculum.

Excellent course instructor. Basics of ML done right with this course.

By Gina

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Aug 2, 2022

A great course to start your journey into the fields of聽 Machine Learning. Andrew Ng is the best ML teacher.

By Jesus A H M

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Sep 27, 2025

Muy bien explicado, llegue con cero conocimiento y salgo con capacidades para enfrentarme a conceptos de ML

By Jordi E G

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Jan 14, 2025

Good explanations, use cases and practice labs make stepping into ML and AI with this course very enjoyable

By Ankit G

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Dec 27, 2024

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By Tejesh N

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Aug 2, 2024

damn ! This course was easy to understand and have more practical experiment with easy to access learnings.

By Arvin B

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Jan 30, 2024

Exceptionally good! Simple visuals, easy to understand explanations with the best part is the hands on labs

By om s s

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Dec 30, 2023

The course covers all the basic concepts to get started with Machine learning and Artificial intelligence !

By Vincent L

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Dec 7, 2023

Nice course presenting all the basic principles needed to understand and use regression and classification!

By Vincent D

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Sep 4, 2023

The course was very well organized. I felt that it was optimized for people at all levels! Keep shining!!!

By Gursimer K

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Jul 31, 2023

Wonderful! course this is what effort is i really understood each and every topic and I rate this course5/5