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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
24,409 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.

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.

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2026 - 2050 of 4,804 Reviews for Supervised Machine Learning: Regression and Classification

By Hamidreza K

•

May 12, 2023

It really was a great course for me with perfect teaching thanks to Andrew Ng.

By Arunava s

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Apr 15, 2023

AN EXCELLENT WAY TO BEGIN YOUR WAY INTO THE MACHINE LEARNING AND DEEP LEARNING

By Satyajit S

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Feb 1, 2023

Andrew Sir is the best. This course is extremely helpful for students like me.

By Martin T M

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Dec 6, 2022

Such a phenomenal amazing course. Thank you so much Professor Andrew and team.

By Hexi P

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Oct 6, 2022

Very clear leaning plan! Details are explained very well and helped me a lot.

By Francois M

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Oct 5, 2022

Very impressed by the quality of teaching and simplicity of the explanations.

By Navin D

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Sep 13, 2022

Beatiful practice labs makes concept more understandable and easy digestible.

By Redouane D

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Aug 25, 2022

This is a great course to get started in the field of artificial intelligence.

By Martin S

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Jul 30, 2022

기대 이상이다. 간결하지만 핵심을 가격한다. 생활코딩 같은 난이도에, 잘 짜여진 코드로 이해를 더욱 돕는다. 그 어떤 책보다 낫다고 생각함.

By Ishan M

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Jul 27, 2022

Great course, start from very basic and helpful in building solid foundation.

By Shrirang M

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Jul 23, 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

By Deleted A

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Jul 11, 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team Coursera.

By Abdulrhman E

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Nov 17, 2024

very high quality education, andrew is the one if the best teachers out there

By Jason M

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Sep 19, 2024

Clear and well structured. It would be fun if the quizzes had more questions.

By Rohin M

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Aug 1, 2024

Superb course for intuition! Looking forward to developing my skills further!

By Jonathan M C

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Mar 13, 2024

Exceptional, you can see that a lot of effort involved in making this course.

By Monzer H

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Feb 19, 2024

Amazing course with rich information, a great start on machine learning path.

By HARDIK A 2

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Feb 10, 2024

great course learning a lot of things and excited for learning more in future

By Anirudh L R

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Aug 6, 2023

Great course content-wise. Well structured and industry appropriate syllabus.

By Pratyush K

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Mar 18, 2023

The course really awesome. The explanations are clear and easy to understand.

By Mark T

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Feb 7, 2023

Great course content with thorough and engaging explanations of the concepts.

By Rorie B

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Oct 11, 2022

A bit more math would be helpful, but overall this course has been excellent

By anup

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Aug 11, 2022

Awesome learning experience, including refreshers through the practice labs!

By Dhanemkula S N N K V K

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Jul 14, 2022

Good mathematical explanation how maths behind the algorithem is just awesome

By Deleted A

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Jun 30, 2022

Everything is explained very clearly. Thanks to Professor Andrew and Coursera