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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
27,508 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 24, 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.

FA

May 25, 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.

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2076 - 2100 of 5,277 Reviews for Supervised Machine Learning: Regression and Classification

By Alessandro D

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Jul 6, 2022

Ótimo curso, e os exercícios práticos ajudam bastante quanto a questão de programação

By Elton A M M

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Jan 28, 2025

Excelente base para entender ML Supervisado y previas para entender Redes Neuronales

By Maria M

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Jul 27, 2024

It is the most intuitive and detailed course I have ever had, I loved it. Thank you!

By Yinwei Z

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Jan 18, 2024

Goated for giving you the intuition (and math jargon) to make sense of the textbooks

By Amit T

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Nov 11, 2023

The course and the instructor is awesome! It just is very thorough and fun to learn.

By Purva M

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Jun 29, 2023

Awesome experience.. Teaching pattern is really very good and helpful for learning..

By Mahdiyar T

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Jun 22, 2023

this course is very useful , Andrew Ng is one of the best tenure in Stanford(Online)

By PRIYANJALI

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Jun 7, 2023

It was the best curse on ML. Andrew Ng is my favourite instructor now. Thank you sir

By Ramy K

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May 8, 2023

the best course and explains details, a bit hard but will get you the best algorithm

By Isidora V

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Apr 5, 2023

Great and thorough course for beginners in data science. I enjoyed learning with it!

By Ramana C R

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Feb 10, 2023

Pretty good introduction and approach in introducing concepts is indeed commendable.

By Libor S

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Nov 30, 2022

Great course to learn bases for more advance machine learning in later series stages

By Atharva P

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Sep 8, 2022

Andrew NG is amazing in the entire course, I really learned so much from this Course

By Yung-Hui H

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Aug 16, 2022

Intuitive explanations to help understanding, highly recommended introductory course

By Akshit A

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Aug 3, 2022

Amazing course with adequate content on the mathematical intuition ; no more no less

By Aiden S

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Aug 2, 2022

Goes well into the practical approach of machine learning , really enjoyed the labs.

By Valentin R

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Jul 4, 2022

The Course is amazing. Every minute of learning was woth it. What a crack Andrew Ng!

By Esmeralda C

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Oct 14, 2024

Excelente curso introductorio, bien compuesto y detalla con claridad cada concepto.

By Wendy M

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Sep 3, 2024

This course is very exciting and interactive, with very useful laboratory examples.

By ayoub h

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Aug 17, 2024

The best course I have ever enrolled in in the field of supervised machine learning

By Utkarsh

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Jun 29, 2024

Its been taught in layman's term by the industry leader and expert Prof. Andrew NG.

By Daniel R M

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Jun 5, 2024

Very simple and accurate introduction to make your first step into Machine Learning

By Roman F

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Apr 12, 2024

Andrew is an incredible teacher. Patient, caring, and enthusiastic about his field.

By Shao J

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Oct 23, 2023

Thank you for using it in the simplest way that even a fool like me can understand.

By Humberto d S

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Sep 20, 2023

Excelente didática, explicações claras e objetivas. Notebooks muito bem detalhados.