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:

151 - 175 of 1,206 Reviews for Supervised Machine Learning: Regression and Classification

By Şəfa S

Oct 18, 2022

By Matheus d M d A

Nov 5, 2022

By Xiaoyu M

Oct 4, 2022

By sichun z

Aug 6, 2022

By 游铠强

Aug 30, 2022

By Miguel I (

Sep 25, 2022

By Ofek c

Sep 16, 2022

By Iuliana A B

Oct 23, 2022

By Girish Y

Aug 18, 2022

By Christian L P

Sep 13, 2022

By Parto A M

Sep 7, 2022

By Dawit T

Aug 26, 2022

By Prejith S

Nov 13, 2022

By Subakaran R

Oct 25, 2022

By Rafał K

Aug 17, 2022

By A.D. J

Jul 21, 2022

By Shantanu

Jul 15, 2022

By PRINCE J K

Jul 9, 2022

By vrushal b

Oct 23, 2022

By Peter B

Oct 17, 2022

By Stefanie S

Nov 8, 2022

By Chad W S

Jul 4, 2022

By Juan G R P

Jul 7, 2022

By Ramesh B J

Jul 23, 2022

By Chenyi L

Jul 31, 2022