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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
23,866 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

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

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.

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976 - 1000 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Nayrouz H

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Aug 5, 2022

way simpler than the past ml course , prof.Andrew is explaining hard topics in a very easy way , it feels like 3rd grad math , not ml and advanced math ... LOVED it

By Ezekiel A

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Aug 27, 2024

Thank You Andrew for giving a digestible way to understand machine learning concepts as well as proper implementation. I'm truly thankful to have found this course

By Kuntal S

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Jun 20, 2024

I was fairly new to these concepts and quite frankly these topics were overwhelming. Now i Understand the workings a bit my fear of AI takeover has been validated.

By Amith J

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May 26, 2024

Really good course to start learning ML. Can complete with minimal coding knowledge. Plenty of optional labs available if you want to fully explore every scenario.

By Arash S

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Sep 19, 2023

This course was very good for me because of Andrew ng . He is a very good teacher with a good experience of teaching . so , Thanks Andrew , Thanks Deep Learning AI

By Erkan D (

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Nov 3, 2022

Wonderful course. Great insights. Perfect explanations. I enjoyed every minute of it. I am eager to move on the next courses under Machine Learning Specialization.

By ATANU R

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Nov 2, 2024

The course is very well designed, engaging and chunked into good enough portions which you can read through. It is a very well-defined course to start learning ML

By Jeff F

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Jul 5, 2024

While it helped to do the Mathematics for ML & Data Science specialization in advance, this was extremely clear and concise introduction to the foundations of ML.

By sherry v

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May 17, 2024

Andrew did full justice to this course. I will stick to his suggestions for building ML models. It would have been great if some small projects were included too.

By Ciprian T

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Nov 13, 2023

the final laboratory exam was not easy, perhaps a bit of extra clarity would be helpful especially where code examples are set in place and specifics are expected

By nacho t

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May 21, 2023

Excelent way to get in touch with theory of how IA works (very begining).

A Little bit hard for non-engineers, but with a little extra effort, you can achieve it!!

By Anhelina O

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Jan 28, 2023

Andrew is amazing! He's explaining hard things to understand the most available way I've ever known. A big plus is also the coding tasks, very good for beginners.

By Shivam M

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Dec 18, 2022

I can clearly say it is one of the best machine learning course in whole world . It covers all core concepts from scratch and I love teaching style of Andrew Sir.

By Ahmed A

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Nov 6, 2022

I learned a lot about machine learning, and I understood and applied a lot of principles and theories, I benefited a lot. This course was useful and fun to learn.

By Waseem K

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Sep 14, 2022

A very well designed and organized course. It helped me a lot to learn the basics of Machine Learning. I am thankful to Mr. Andrew and his team for their effort.

By Ahmed S

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Aug 23, 2022

It was a fun course presented in a simple way that anyone could understand the algorithms behind Regression, Classification, Gradient descent, and regularization.

By Andrew M

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Jul 24, 2022

Great, Andrew never fails in surprising me.

just keep in mind that you have to understand how the Algorithms are implemented, and everything will be more than fine

By Ali I

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Jun 20, 2024

The Dr who gives this course is more than amazing i've learned a lot of things and i will recommend this course to the people who is excited in machine learning.

By Chetu

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Aug 18, 2023

It's beautiful course , it covers each and every topics in detailed but it can be much better it provide detailed proof or derivation of each algorithm.

Thank you

By Liran U

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Jun 25, 2023

Great learning experience, provides a strong foundation and a dive not only into how things work in code, but the math as well (which, trust me, is quite handy!)

By Roberto A R B

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Nov 11, 2022

Un excelente inicio, todo muy claro con grandes ejemplos, excelente profesor, conocimiento básico de phyton recomendado aunque puedes aprender junto con el curso

By Ashu P

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Oct 30, 2022

Extremely well designed and easy-to-understand course. It made regression and classification so easy like butter to understand even to a non-math person. Kudos!

By Ahmed s h e

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Sep 7, 2022

incredible, simple and powerful inriductory into such a field as ML, for me, I benefited a lot in the first course and I am willing to enrolling to the next one

By Abdulkareem A

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Aug 10, 2022

Amazing coure with very well preparied videos and supporting labs. Highly recomended if you are beginner and want to cover the subject in a short period of time.

By rachad l

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Jul 29, 2022

Great Material Mathematically and coding), Great Instructor, Great Graphics. It would be better if it was more challenging in the tests. But Overall It is great.