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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
25,312 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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1576 - 1600 of 4,959 Reviews for Supervised Machine Learning: Regression and Classification

By Pradyun G

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Aug 20, 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 16, 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 5, 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 20, 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 24, 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 1, 2022

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

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 29, 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 29, 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 30, 2023

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

By 刘昱祺

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Jun 5, 2023

It is more than classic and interesting.It is my sincere hope that I could be NG's student offline one day.

By Begoña V

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Dec 2, 2022

Excellent instruction, explanation and materials. I especially loved the optional labs and the assignments.

By Jonathan D

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Sep 13, 2024

Thorough coverage of the topic and very well presented by the engaging and highly knowledgeable Andrew Ng.

By Jose L B F

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Feb 8, 2024

I 'm very happy for the opportunity to have learned this course. Thank you very much for all the learning.

By Aman D

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Feb 4, 2024

Really helpful for starting machine learning, useful guidance along with practical labs just after theory.

By Andy W

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Nov 19, 2023

Great lectures and relevant coding lab assignments. They effectively teach the concepts of supervised ML.

By wilson f s

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Oct 14, 2023

Es un curso didáctico, que explica con suficiencia los retos de la regresión y clasificación. Recomendado.

By Anshuman A

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Sep 9, 2023

Very nice and useful course. Made learning very easy and I hope to use this course ahead in my future too.