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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
18,724 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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

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1801 - 1825 of 3,877 Reviews for Supervised Machine Learning: Regression and Classification

By Prakash B

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Apr 24, 2024

Explained in detail with both math concepts and programming constructs.

By Tuan H T

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Oct 7, 2023

Very helpful, it makes me understand more about machine learning basics

By NAJAM U H

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Aug 22, 2023

Best Teacher in The World Sir Andro Ng Love you All concepts are clears

By Muhammad M E

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Apr 3, 2023

The material provided is very structured and basic, very useful for me.

By Areli M E A

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Mar 15, 2023

Uno de los mejores cursos para adentrarse en el aprendizaje supervisado

By Ronald E

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Feb 27, 2023

This was a good introduction to the topic by a very capable instructor.

By Milan S

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Jan 29, 2023

Awesome course with balanced structure in terms of theory and practical

By Hashir R

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Jan 25, 2023

instructor is very talented and give brief instruction about all topics

By Isabella M H

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Jan 23, 2023

Excellent course, very helpful to start learning about machine learning

By Leonardo A G

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Dec 31, 2022

Excelente para iniciarse. Explicación muy clara de todos los conceptos.

By RAJKUMAR L

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Dec 22, 2022

Optional labs and practice labs give a good hands-on and understanding.

By Yussuf L

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Aug 29, 2022

Very concise and elaborative. Thank you, Andrew and other facilitators.

By Savin S V

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Dec 10, 2023

Great course in teaching the basics of linear and logistic regression.

By Vishnu U

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Oct 19, 2023

World's best introductory course in machine learning. Thank you Andrew

By Fahim G

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Oct 3, 2023

Great hands-on and concise intro course to machine learning algorithms

By Hasham A

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Sep 9, 2023

Great learning experience with actual hands on practice make it worth.

By Mansoor J

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Aug 16, 2023

Great course, easy to follow, and Andrew is great at explaining stuff.

By Abdulrahman O A

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Jul 17, 2023

nice course, i'm very grateful for mr. Andrew for this amazing course!

By Oscar A

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Jul 10, 2023

Better than expected!

Thank you for sharing such a valuable knowledge.

By Abrar H

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Jun 25, 2023

Very slow paced and understanding. Andrew NG is an amazing instructor!

By CARLOS A B M

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Jun 6, 2023

This course was full of solid foundations to continue dabbling in A.I.

By Daniil N

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Mar 18, 2023

Marvelous course! Very well-explained and with nice hands-on practice!

By Amit L

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Mar 7, 2023

excellent course, greatly organized, highly recommended, thanks a lot,

By Parma R R

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Jan 23, 2023

As always, Mr. Andrew's courses are really good! Totally recommended!!

By Kaleab K

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Jan 8, 2023

A very Thorough and in-depth Resource on Regression and Classification