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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
31,517 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

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.

WB

May 24, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

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4551 - 4575 of 5,960 Reviews for Supervised Machine Learning: Regression and Classification

By Alan S

•

Nov 11, 2023

Excellent course

By Bassam E

•

Oct 21, 2023

Very good course

By Rousyan F Y

•

Oct 20, 2023

Goods understand

By Abdullah A

•

Oct 11, 2023

Excellent Course

By Anjali B 2

•

Aug 22, 2023

very informative

By Ahmed e

•

Aug 18, 2023

very good course

By AustEcon

•

Aug 15, 2023

Excellent course

By JUNAID F

•

Aug 11, 2023

very informative

By mohammadreza e

•

Jul 23, 2023

Good intro to ML

By taleb s

•

Jul 6, 2023

excellent course

By Isabella I

•

Jul 5, 2023

Amazing teacher!

By arash g

•

Jul 1, 2023

Andrew is Great.

By Janith M

•

Jun 25, 2023

very good course

By Andika R T

•

Jun 21, 2023

very good course

By Hayk A

•

Jun 12, 2023

Excellent course

By PRABHAT S

•

Jun 12, 2023

Awesome course .

By Sadi T

•

May 30, 2023

very good course

By Mehedi H N

•

May 12, 2023

Best Course Ever

By Ioannis M

•

Apr 29, 2023

sehr gut erklärt

By Amirfazel K

•

Apr 20, 2023

It was very good

By Muhammad R

•

Apr 10, 2023

sangat menantang

By Nilufar M

•

Mar 27, 2023

its very useful