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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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1876 - 1900 of 4,804 Reviews for Supervised Machine Learning: Regression and Classification

By Sneha A K

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May 26, 2024

Classes were brilliant. Especially the practice sessions. Each idea was clear for me.

By Yakov K

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May 18, 2024

Amazing quality and clarity and selection of materials and examples. Truly insightful!

By Philip S

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May 27, 2023

Very very good course . I covers the basics of regression and classification very well

By Valentin B

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Apr 9, 2023

Amazing course and teacher, even the math didn't seem as hard with Andrew teaching it!

By osama m

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Mar 19, 2023

Very understandable, Very Valuable course, Really gained rich knowledge.. Thank you :)

By Vinicius G

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Jan 12, 2023

Exceptional course, the professor didactics are awesome. I really enjoyed the content.

By Sohan L Y

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Dec 27, 2022

full of knowledge and best way to clear the topics properly from basic to intermediate

By Chumpol_th

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Nov 17, 2022

I like to studied to this course the instructor can make difficult things very easy.

By amir t

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Oct 31, 2022

well, the videos were phenomenal but i think jupyter notebooks needed their own videos

By Shivam M

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Sep 16, 2022

Well made course, easy to understand and explained mathematics behind each algorithm.

By Chapparam s b

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Sep 4, 2022

This course is good but instead of more optional class please keep lot of assignments

By Gokul V

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Aug 8, 2022

Excellent teaching and i am able to get deeper side of fundamental of Machine learning

By Carlos M

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Jul 3, 2022

Excellent course. I am very happy to conclude it and I can wait to start the next one.

By Mihai B

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Jun 24, 2022

Excellent at building intuition for ML. Great course for both newcomers and veterans.

By Python P

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Jun 22, 2022

Really enjoyed this course and looking forward to the next one in this specialization.

By Zhaoyuan L

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Nov 1, 2024

Great course for getting a basic understanding about linear and logistic regressions.

By Shivam G

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Jun 23, 2024

very nice, the graded lab actually helped me a lot to understand the topics properly.

By William A

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Apr 18, 2024

best course ive ever taken such a great mentor you are Andrew cant wait to learn more

By Mohammad O A

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Feb 4, 2024

Absolutely, one of the best ML courses out there, specifically for academic purposes.

By Milad F

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Jan 29, 2024

It's one of the best courses I have seen before and thanks a lot to all of the staff.

By Vasuky M

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Nov 20, 2023

Clear and easy to learn, Also allows supplementing the learning with very useful labs

By Shashank K

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Oct 16, 2023

Excellent foundational course for someone who is just starting with Machine Learning!

By Prakash R S

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Oct 12, 2023

Very well organised and the complexity is graded well for all. Found it interesting!!

By Greg K

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Oct 2, 2023

The hands-on labs with accompanying guidance brought the mathematics alive. Great job

By ARYAN K

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Mar 28, 2023

Best Course to learn the fundamentals. The instructor explains everything very well!!