Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
3,382 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

AM

Jul 16, 2022

It is the Best Course for Supervised Machine Learning!

Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

MP

Sep 10, 2022

It's completely fine. I have learned a lots of thing in this first course of specialization. Thanks to courseera for giving such a good and fine course on financial aid. I am very thankful to them.

Filter by:

201 - 225 of 903 Reviews for Supervised Machine Learning: Regression and Classification

By Muhammad E R

Jul 18, 2022

By Ronald J

Jul 10, 2022

By Khaled A

Sep 14, 2022

By Musidivalasa G

Jul 13, 2022

By ADARSH G

Jul 28, 2022

By Piyush S

Aug 28, 2022

By frankie

Aug 6, 2022

By Nicholaus S

Jul 11, 2022

By Amin A

Sep 1, 2022

By Sivakumar V

Aug 23, 2022

By Alex T

Aug 14, 2022

By Vaibhav C T R

Sep 28, 2022

By Nudrat H

Sep 19, 2022

By Ashish P

Jul 22, 2022

By Khushal V

Jul 10, 2022

By Hemant K S

Sep 23, 2022

By Lộc N V

Aug 27, 2022

By ritesh d

Jul 27, 2022

By Yueh-O W

Jul 4, 2022

By Jim W

Aug 14, 2022

By Meisam R

Jul 14, 2022

By babak r

Sep 5, 2022

By Pakalapti M P

Aug 14, 2022

By BALA M K

Jul 5, 2022

By Souradeep K

Jul 5, 2022