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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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1226 - 1250 of 4,803 Reviews for Supervised Machine Learning: Regression and Classification

By Srisudharshan M

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Aug 24, 2023

The course was well handled by the professor. The labs are made simple and easy for better understanding even for beginners in python!

By MOHAMED N

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Sep 27, 2022

Very basic and fundamental understanding of regression and classification problems using ML.

Great course, great material and support!

By Swaleh C

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Aug 28, 2022

The course is optimally simplified without diluting the context. Highly recommend this course for those breaking in to Machine Learning

By Ayushman H

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Aug 22, 2022

Better than the previous machine learning course. All concepts are visualized and optional labs are superb to strengthen your concepts.

By Anna M

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Jul 25, 2022

Andrew Ng is an amazing teacher and I greatly enjoyed this course! Thank you for refreshing the content and making it work with Python.

By Ivan B

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Sep 18, 2024

The theoretical explaining was great but exercises where you can code the "theory" take to the next level of understanding. I liked it

By Chong W

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Jul 8, 2024

Dr.Ng is very good at explaining concepts in a simple way. Really recommend this course, not a lot of cs and math background required.

By Mr C N

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Jun 29, 2024

Really enjoyed course. I am going to review again before I start the second course. Want to make sure I have a complete understanding.

By Sarthak J

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May 15, 2024

Everything is explained perfectly and from the scratch. There are labs too so that you can apply what is learnt in the theory classes.

By Nishant J

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Apr 5, 2024

It was a great experience learning the different algorithms and using the maths that i learned in highschool actually be implemented .

By pranay

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Dec 20, 2023

wonderful course and detailed explanation. i was my previlage to learn this course my the best instructor in the world of AI Andrew NG

By Fatima Z C

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Oct 26, 2023

As someone with a background in mathematics, I found it so interesting seeing the real-world applications of it thanks to this course.

By Matías T

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Aug 22, 2023

Such a good course. I Have learned a lot. Very good explanations. Andrew is a realy good teaacher. I am very happy with this course C:

By Durgesh D

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Jun 12, 2023

A very detailed and structured course. machine learning topics were simplified enough to make it understandable for beginners as well.

By Diyorbek T

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May 24, 2023

super , I have explored my knowledge deeply by this course, I have to say only super, just professional , especially teacher , Andrew

By Heshan R

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Mar 12, 2023

One of the best courses that I ever had been participated in recently. Thank you very much for you giving me this valuable opportunity

By Santosh M

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Jan 14, 2023

Mathematically complex course materials taught and implemented in a very simplified way, this is what I liked the most of this course.

By Koustav P

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Sep 12, 2022

Thoroughly explained in depth and great detail with extreme simplycity. Can't ask for a better course. Dr. Ng is the best instructor!

By 450-41 R K

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Aug 22, 2022

It's a great introduction with world of Machine Learning, i got to know the power of mathematics that can be applied to solve problems

By Ajay S

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Aug 11, 2024

It was a really informative and inspiring course that provided great insights into the field of ML and precisely Supervised learning!

By Asghar H

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May 7, 2024

This was a great technical (yes it involves calculus and programming) introduction to Machine Learning. Andrew Ng is a great teacher.

By Tuấn H

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Feb 24, 2024

Greatful to Coursera, Deeplearning.ai and Stanford for a great learning experience. This is my first course ever in Machine Learning.

By Harshit J

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Dec 16, 2023

Everything was explained nicely and optional lab was great. only thing i would recommend is ask some harder questions in assignment.

By Albert E

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Sep 19, 2023

Very good introduction to machine learning. The content is digest and oriented towards intuition. It helps better grasp the concepts.

By khayam k

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Sep 17, 2023

Andrew Ng is the goat. I appreciate his teaching skills and how he manages the whole work.

labs were the best. overall work is superb.