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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.

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

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601 - 625 of 4,802 Reviews for Supervised Machine Learning: Regression and Classification

By ROHIT V

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Dec 27, 2022

An excellent course, rich in content and learning. Andrew Ng has taught everything in a simple and effective way. Good learning experience. I would recommend it to everyone who want to learn ML from scratch without any prior knowledge.

By Goyo R

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Jul 7, 2022

Es, probablemente, el mejor curso que he realizado sobre Machine Learning.

Introduce de una manera muy sencilla conceptos centrales de la disciplina.

Mr Andrew Ng es un gran profesor, realmente he disfrutado mucho de esta experiencia.

By Ali Z

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Jul 26, 2024

Supervised ML: Regression and Classification on Coursera was excellent. The course content was clear, and the practical examples made complex concepts easy to understand. Andrew Ng’s teaching style is outstanding. Highly recommended!"

By Thomas R

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Feb 10, 2023

The explanations in this course are very good and I really managed to understand everything, which I think is remarkable by a topic like machine learning that is at least perceived to be very complicated. Thanks for this great course!

By Ramesh B J

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Jul 23, 2022

I really appreciate the course instuctor and tutors for putting such efforts to simplify the concepts and algorithems to even understant the non background studnets in Machine Learning. I thank everyone who is part of DeepLearning.AI.

By Vaibhav S

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Jul 24, 2023

Everything in the course is so perfectly designed. Andrew Ng is so good at teaching. Much respect to him and his work. Start to end everything was explained perfectly in depth. Now I know where to go for AI and ML courses. Thank you.

By Gaurav S

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Jul 3, 2023

amazing course. there was everything one can know about linear as well as logistic regression in this course. amazig way to prepare yourself for industrial standards of research work. Thank you everyone who made this course possible.

By Alex T

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Jun 26, 2023

Thank you Andrew and the team, great course, super clear, well structured, perfect labs. I'm not into ML at all however I am a developer, and I have math background (well, I had, 25 yrs ago). Was very interesting, I got all concepts.

By pl

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Jun 6, 2023

Andrew's focus on imparting the intuition and going through some of the math has been a significant step forward for me. This is not my first online course but the most remarkable given the focus on some of the math/theory/intuition.

By BCSF20A007-QANBAR I

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May 27, 2023

This course is really really helpful as I learnt the basics of Machine Learning in much easy way and practicing the algorithm by my own. and Now Looking forward to learn something more interesting from the one and only Sir Andrew NJ.

By Daniel Y

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Apr 16, 2023

Andrew is such as great teacher. I've taken a few different machine learning courses but never had one explained this clear for some of the fundamental theory and math behind it while also go as deep as this course at the same time.

By Nitin C

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Mar 6, 2023

The course was fantastic. Cleared all my doubts about Machine Learning implementation. Now I stand much confident regarding the concepts and coding exercises, including the inner workings of any classification or regression problems.

By Saomyaraj J

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Mar 6, 2023

This will surely help me in near future to create and develop many more such models. Coursera is a well-known and reputable online learning platform that offers a wide range of machine learning courses taught by experts in the field.

By Chenyi L

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Jul 31, 2022

very glad to see a lot of programming examples in Python from the course, which is really helpful for learners like me who is new to Python and speeds up learning ML and at same time learning programming in Python. I love the course.

By gishe t

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Jun 19, 2022

Well-designed course and the concepts are to the point. The instructor was very knowledgeable. Most important of all, the instructor is encouraging. The sample codes are very helpful. However, the content is very short, only 3 weeks.

By Tobias M

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Oct 30, 2023

Really good course design! Andrew Ng gradually builds intuition, follows up by the mathematical details and shows practical tipps for applying the concepts to your own use cases. An absolute pleasure to learn about machine learning!

By Ben

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Dec 5, 2022

Having taken a similar statistics course at university, I found the course quite easy to understand from a conceptual point of view. The real benefit came with seeing the first principles implementations of these concepts in python.

By Houston M

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Jun 28, 2022

A great update to an already brilliant course. This is where all aspiring data scientists need to start. Even practitioners will gain something from using this course to revise concepts forgotten due to the use of pre-made packages.

By Gaurav S

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Mar 10, 2024

Words fall short. Complex concepts explained in simpler terms and then articulated in domain specific terms. Interactive Labs don't let feel overwhelmed. Prior Knowledge/exp of various graphs( e^x , logx , 1/e^x ), really helps.

By Shafqat A

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Dec 14, 2023

This is my first course about machine learning and after finishing it, I have decided to complete all the specialization courses and become ML expert. This is the best course I have ever attended, and Andres is the best Instructor.

By Manfred H

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Jan 29, 2024

This course is a fantastic starting point for everyone who wants to discover AI and Machine Learning. Andrew is great to listen to and makes the material fun to learn. I'm already taking the next course on AI inspired by Andrew.

By Shiva K

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Dec 3, 2023

Explained in detail and easy to follow the pace, I thank Dr. Andrew Ng. I thank all those in designing this course very well. Looking forward to learning more in my upcoming courses. A huge thank you to Stanford, DeepLearning.AI.

By Nicholas J F

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Jun 8, 2023

Wow, What an amazing course. It is amazing because it starts from the bottom and goes through small steps that anyone can follow. It builds your knowledge one bit at a time, until the end you have started to understand this field.

By Akhmetbek S

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Aug 11, 2022

I am very grateful to the instructors of this course! Thank you very much! Especially for updating the course. I really liked the course! I got a lot of useful knowledge! All concepts were explained very simply and systematically!

By Kaleb M A

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Jul 6, 2022

a very interesting course. however, I have one comment. the programming assignments are done with a forloop. Please change it to a vectorized version (for logistic regression - for programming assignment about logistic regression)