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
5,298 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

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.

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

Filter by:

76 - 100 of 1,205 Reviews for Supervised Machine Learning: Regression and Classification

By Amirhossein A

Aug 28, 2022

By Lena E

Nov 8, 2022

By Arnak P

Jul 22, 2022

By Daniel W

Jun 29, 2022

By Tobias K

Oct 1, 2022

By Sasa G

Jul 12, 2022

By Shreyansh P

Aug 20, 2022

By Irene P

Jul 3, 2022

By Daniel A

Jul 29, 2022

By Mohsen F

Jul 17, 2022

By Charles B

Oct 30, 2022

By Fredrik Ö

Aug 3, 2022

By Jeffrey C

Aug 14, 2022

By vijay s

Aug 14, 2022

By Badavath T

Jul 5, 2022

By Matthew T

Nov 7, 2022

By Argha B

Jul 28, 2022

By Saif U R

Aug 16, 2022

By César D M C

Oct 6, 2022

By Krishnakanth G V

Sep 22, 2022

By Mohamed A K

Nov 1, 2022

By Sachin B

Sep 5, 2022

By Jot

Jun 22, 2022

By Said P

Oct 2, 2022

By 21SCMEA132 K A

Sep 3, 2022