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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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2201 - 2225 of 4,804 Reviews for Supervised Machine Learning: Regression and Classification

By Rajarshi R

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Dec 15, 2022

It is an amazing course, I really loved the explanation of Andrew sir.

By Bimal D

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Dec 13, 2022

Stellar starting point for people who wants to understand fundamentals

By Joshua A

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Nov 30, 2022

Love the pace of the course and the amount of content being delivered.

By Ahmed T

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Sep 17, 2022

So valuable course with easiness in providing the required knowledge.

By Sujon N

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Jul 4, 2022

I am satissatisfied to learn basic practical theory of Supervised ML.

By Kavinaya V

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Sep 14, 2024

I hope this course is learnt by many and get loved just like how I do

By Douglas N

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Jun 24, 2024

Incredible course! I just wish we were able to write a bit more code.

By Omar R S B

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Mar 18, 2024

Amazing course! I enjoyed it and gained valuable information from it.

By Alirio H M B

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Feb 28, 2024

Great professor, great content, I learned a lot, totally recommended.

By Math 4

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Feb 17, 2024

I can only say thank you very much coursera a and professor Andrew Ng

By ANSHUMAN D

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Nov 27, 2023

Thank you Coursera and Prof. Andrew Ng for this amazing course on ML!

By Rahul A

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Oct 23, 2023

Excellent course for someone starting their Machine Learning journey.

By Xi L

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Oct 5, 2023

Course is great, I apparently need more practices myself to master it

By Yahya A

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Aug 3, 2023

Very detail oriented a lot of theoretical lessons and very good labs.

By Warich S

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Jul 15, 2023

flawless course for machine learning that I ever been through before.

By Vishnuwaran K K

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Jul 3, 2023

Loved the Python Labs. Thank you for the insightful learning content!

By Jaiman P

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Jun 18, 2023

Great for an introduction as well with an appropriate math background

By Yegor S

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Mar 27, 2023

Great mathematical foundation and overview of introductory material.

By muhammad i

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Jan 8, 2023

The Instructor's lectures and the material he chooses are beneficial.

By AHMED S M

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Dec 29, 2022

The course design is high-level, and it gives me deep insight into ML

By Milutin S

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Dec 24, 2022

Perfect for beginners and introduction to the Machine Learning field!

By fida k

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Nov 5, 2022

it was updated outstanding course for Machine learning specialization

By Manith S

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Sep 13, 2022

Great course for building a solid base on Machine Learning concepts.

By Víctor G

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Aug 31, 2022

Muy bien curso con contenido francamente bien explicado por Andrew Ng

By vivek p

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Jul 22, 2022

amazing explainatation with informative knowledge given by Andrew ng.