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

4.9
stars
17,990 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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526 - 550 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Dhanushka J

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Sep 15, 2022

Couldn't ask for a better course to get started in Machine Learning. Everyone involved should be proud for making such an accessible course, the labs are excellent, the pace is perfect. Thank you from the bottom of my heart. <3

By Nabil C

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Jun 20, 2022

The content is very well architected with math being introduced just in time. The delivery is excellent. Quizzes and labs keep you engaged and focused. This was a very pleasant journey. I am definitely going for the next course.

By Nicholas S

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Jan 13, 2024

The course gives a thorough and clearly-presented introduction to linear regression and logistic regression, albeit slightly laboured for someone with existing knowledge of university-level mathematics and computer programming.

By Sanuga L

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Aug 6, 2023

This is the first I'm taking a course on coursera platform. I was able to gain strong foundation for my machine learning career through this machine learning course. Thank you very much for giving me this wonderful opportunity.

By Guru S B

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Jul 31, 2022

I was taking these courses just to review the course material, and I am impressed by how hard the instructors had worked on putting together all the course content. Kudos to the entire ML Specialization team... A big thank you!

By Ullas P

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Jun 11, 2023

The relevant concepts of Regression and Classification based ML models are explained really well. The Instructor really broke down the concepts for a digestible and effortless experience for us. Overall a well-designed course.

By Mariana Y

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Nov 22, 2022

I am a total beginner in Machine Learning and this course gave me complete understanding of the basic algorithms. Before that I'd tried to code without getting a point, however after this course it starts already to make sence

By Tharindu M W

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Jan 3, 2024

Exceptional learning experience! The material was presented with great clarity, making it easy to grasp. The instructor's teaching style was effective and engaging. Highly recommend to anyone who interested to learn AI and ML

By Nikola J

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Aug 27, 2022

Amazing course. I've taken several ML and deep learing course as a graduate student in CS and none was as useful as this one. The course is down-to-earth but covers all the relevant topic and emphasizes practical application.

By Divyesh S

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Jun 27, 2022

I really like this course . The course is very interactive . Andew sir and team did a fabulous job explaining each and every concept of classification and regression very intuitively. Thank you so much Andrew sir and the team

By Juan P B

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Aug 13, 2023

The structure of the course as well as its teacher are exceptional, until now I have not found any course that explains the bases and fundamentals in such a clear and precise way (which I personally consider very necessary).

By omar s

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Aug 7, 2022

I was doing another courses in machine learning and on those courses I never knew what I was doing, if you want to learn whats happening under the hood of those machine learning libraries in python this is the course for you

By Mookalanyaye R T R

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Dec 20, 2023

No words to say. Professor Andrew Ng. is the best teacher on the planet. I love him. Thank you sir for your dedication and organization of this amazing course. My Love and respect again and again !!!!!!!!!!!!!!!!!!!!!!!!!!!

By Akshaj J

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Aug 18, 2023

I really enjoyed studying this course It was very well explained, the best part for me was the optional labs where we could play around with values and diagrams to understand how the concept works and mess around with code.

By Nguyen T D

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Jan 2, 2023

Unlike other courses I have taken, Andrew explained very clearly the underlining math and motivation of basic models like Linear/Polynomial Regression and Logistic Regression. He also explained the regularization very well.

By Qiuran W

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Sep 14, 2022

This course serves as a very good start for people who want to study machine learning. It is easy to understand, and all the assignments and labs a very helpful in both learning the basics of regression and thost of python

By Ronak P

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Jul 26, 2022

Excellent course for candidates who wish to start their journey in the field of data science and machine learning. And Andrew NG sir hates off to you. Thank you for preparing such a wonderful course amid your busy schedule.

By Santhosh S

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Jul 25, 2023

Started with Zero prior knowledge about ML and with Basics of python & libraries like numpy , pandas, Matplotlib . I find the way course is structured to be astonishingly beginner friendly. Starting my ML Journey from here

By Ayan G

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Sep 24, 2022

One of the best introductory courses for machine learning that i could have enrolled in. Andrew Ng is no talented like he made machine learning and the maths related to it so easy that i did not have to memorise anything.

By Tertuliano F

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Jan 2, 2023

Curso muito bom! Como sugestão só teria que ter tido mais aplicabilidade em diferentes áreas como naturezas, ciências humanas e etc. Acredito que isso pode motivar pessoas de diferentes áreas a se motivar com esse mundo

By Bansari K

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Jun 20, 2023

It was an exceptional course. Everything was up to date, and if I were to talk about the theories and the slides, presentation and especially Mr.Andrew Ng, it was remarkably excellent. I cannot thank him enough for this.

By KIRUBHAKARAN M

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Sep 2, 2022

This course was really interesting and curated with an introduction on basic ML concepts using simpler math and various interactive and insighful visualizations, followed by optimizing the computations using programming.

By Chirag G

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Jun 17, 2023

Andrew ng is definitely one of the best teachers of machine learning and data science. I would suggest anyone who is watching the lecture series to also read ISLR along with the lectures. It would immensely benefit you.

By Loveen V

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Sep 27, 2022

Awesome course taught by one of the greatest teachers. We are expected to get the intution of core ideas rather than worry about the coding aspect of ML which usually overwhelms the beginners with no coding experience.

By Brian F

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Jul 7, 2022

Professor Ng does a terrific job of explaining complex topics. I took other classes and had difficultying grasping everything, however this course puts it all together in a easy-to-understand format. Excellent course.