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

4.9
stars
18,061 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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651 - 675 of 3,771 Reviews for Supervised Machine Learning: Regression and Classification

By Praveen Y

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Mar 27, 2023

I was a little apprehensive about the Math required to understand the concepts, however this course simplified the approach in an elegant and easily understandable manner and made it enjoyable.

By Pula P

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Feb 26, 2023

Challenging and educational. You really have to put an effort to understand the content, since it delves into complex stuff, but if you commit it, then you really learn some valuable knowledge.

By Valeria G A

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Mar 10, 2024

Thank you very much, Andrew, for giving me the opportunity to understand a little bit about what Machine Learning is. You are very kind and patient in class, and that motivated me to continue.

By aman t

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Feb 15, 2024

A must have course for any beginner in the indusry. Very well explained even the tougher topics. Helped me a lot to gain understanding of the basics which i was struggling for. Totally a win.

By HY

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Jul 8, 2023

It covers the fundamentals which form the proper foundation for machine learning, suitable for people who want to learn about machine learning implementation as a AI specialist / practitioner.

By Gaurav M

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Feb 25, 2023

This is one of the best courses I may have ever done in my life. It teaches the basics and the more advanced concepts in such a way that it literally sticks in my mind! I am now dreaming ML...

By Lindsey A E

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Sep 18, 2022

Great course. Focused on understanding the concepts and then applying them piece by piece in code with the optional labs an excellent addition for further understanding and learning the code.

By Aquib V

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Mar 1, 2024

Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

By Shivansh S

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Aug 27, 2023

This the perfect course for beginners on Machine Learning even for those who have little or no programming experience. Best Course, easy explanation and best labs. Thanks for the the support.

By Duy H N

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Jul 17, 2023

This course gives you the basic of supervised learning and the math explanation behind supervised learning model. The math behind is quite complicated but Andrew Ng make it easy for everyone.

By Joe A

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Mar 24, 2023

Very good course and walks you through every concept needed for Regression and Classification. Thank you Andrew for providing such a great course and looking forward to meeting you one day !

By Jonathan H

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Mar 18, 2023

A very clear and well explained introduction to Machine Learning; Andrew's videos are very easy to follow, and he explains the concepts and the maths very well! I really enjoyed this course.

By Anwar K

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Nov 28, 2023

Great introduction to Machine Learning. Realising that my math is rusty and need to perhaps take the deeplearning.ai math courses. Professor Ng makes materials relatively easy to understand.

By Kevin G

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Aug 9, 2023

The best course I have taken. it translates a complex subject, into something very simple, and what I like the most about this course is how this thing unfolds step by step, until the result

By saurabh d

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Apr 24, 2023

I really liked this course. I had been doing regression for good part of my career, but I had missed the terms / labels and was not able to communicate effectively. This has helped me a lot.

By Maha

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Feb 11, 2023

i really liked the course, but because i am a beginner i will understand more about machine learning especially cost function logistics. after that, i am going to complete the next 2 courses

By Michael M

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Feb 6, 2023

Good intro to the underlying theory of regression/classification. I'd applied these techniques at a high level before, but I'd never learned how they're actually implemented under the hood.

By Anupam D

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Aug 3, 2022

I like the way jupyter notebooks are designed. It saves time on testing the code because it displays step by step what is happening and allows me to focus on the code logic implementation.

By Gabriel T

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Aug 3, 2022

Amazing course explaining the math behind the most famous algorithm. Good explanation of the gradient descent.

Thank you to Andrew Ng and his team! A bit of math background is needed though

By TC G

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Feb 16, 2024

Sufficiently in-depth to grasp the basics and do a bit of coding. Would have preferred more coding practice within the module, but most people will probably find it difficult enough as is.

By Trung K N

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Nov 19, 2023

Love the way the course was organised , passionate teacher , amazing content 10/10 , though the assigment can be implemented in a more efficient way but overall it was too good of a course

By Max L

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Jul 16, 2023

Exceptionally well-constructed course material with excellent demonstrations. Definitely had a fabulous experience with the content. It was easy to understand but elegant. Enjoyed a lot!!!

By Harshan S

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Jul 6, 2023

Thats really an amazing course to start with for a machine learning career, the course was really easy to understand and explained everything with great detail in a simpler and easier way.

By Elham R

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Aug 20, 2022

I really enjoyed taking this course. I absolutely loved the labs which were very helpful to test my understanding of the material I had just learned. Thank you to Coursera for this course!

By Vinod N

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Aug 9, 2022

Goes into the details of Logistic regression & Classification. The course is designed in a very simple and easy to understand format and Andrew sir is amazing all through out the sessions.