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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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1001 - 1025 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

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 350-41 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 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.

By Cavs L

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Sep 7, 2023

The course is very well-planned and easy to understand, that even a beginner like me doesn't feel overwhelmingly daunting to learn AI

By Katharina L

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Aug 29, 2023

Wunderbarer Kurs - Andrew Ng ist klasse! Ich hätte mir mehr Aufgaben zwischendurch gewünscht, in denen ich selber programmieren muss.

By Cavid K

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Nov 23, 2022

It's one of the best courses I've ever met. Andrew explains the fundamental math that stands background of machine learning so well

By Renuka R

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Sep 29, 2022

Great course for those who are interested to learn in machine learning at a beginner level, thanks to Andrew Ng and Deep learning.AI

By mohammad n

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Jul 19, 2022

The course is awesome, one of the best instructor out there andrew NG. The easy explanation of such dificult concepts. Simply amazing

By Erfan R

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Aug 2, 2023

It is a comprehensive course that supports some basic machine learning for those who are excited to learn this way. thanks to Andrew

By Mohamad K

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May 5, 2023

at first you might think that its easy but its actually has a good slope and you suddenly find out that you have good undrestanding.

By Fabian G

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Mar 19, 2023

Well structured, simply explained, easy to understand, with the right amount of challenge. Beautiful course for learning this topic!

By Vishva M

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Dec 23, 2022

One of the best courses I have ever taken and Andrew is the best teacher in the world. He will make everything easier to understand.

By Dnyaneshwar G

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Nov 29, 2022

Course is designed very effectively to get concept behind each algorithm and help in hands on coding of algorithm.

Thank you so much!

By Ahsan A

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Nov 20, 2022

If you want to know what is machine learning in actual you must take this course. This course teaches machine learning from scratch.

By yraion0

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Sep 23, 2022

That's amazing and the first course that i really understand fully the concepts and maths behind the technics of Machine Learning.

By Dhruv G

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Oct 20, 2023

great course! built a solid understanding and foundation for machine learning after completing this course. Great work prof Andrew!

By Indhu s G

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Aug 27, 2023

Very clear way of explaining and making us understand the topic and provided assignments makes us feel confident on its application

By Yuzhen F

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Apr 6, 2023

Very nice and very basic. I think almost a high school student can understand. I think it is what an introductory course should be.

By Reni T S

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Apr 1, 2023

Its so easy to understand for me!! The graph and other explanations is so clear. I'm happy that I have chance to learn this course.