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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
23,866 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

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

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.

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1476 - 1500 of 4,721 Reviews for Supervised Machine Learning: Regression and Classification

By Nanda k Y

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Aug 16, 2022

I am a beginner in learning the Machine Learning algorithms. And I learned a lot from coursera.

THANK YOU SO MUCH

By Yoshihito T

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Jul 13, 2022

It was easy to understand even for beginners, and even if I was not good at math, I enjoyed learning to the end.

By michael a

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Sep 13, 2024

perfect course where i understand all the basics and fundamentals of supervised learning great course to enroll

By Helieh H

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Mar 17, 2024

The course was comprehensive, and its labs were extremely helpful in understanding and practicing the material.

By Johannes B

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Dec 29, 2023

Introduce vector multiplication in python early in the course. It makes the code that much easier to understand

By Benoît T

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Jul 6, 2023

Very nice introduction to machine learning, with recommended hands-on labs. Very pleased to have followed this.

By Amirah N

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Jun 30, 2023

Easy to understand and the lab practices were really helpful to help me visualize the concept learned in codes.

By Deleted A

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Jun 25, 2023

One of the Best course you can get to get started in the field of Artificial Intelligence and Machine Learning.

By yodha s

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May 28, 2023

I really loved this introductory course. This course was a great start for me in the field of machine learning.

By Ali K

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Feb 28, 2023

Thank you so much for interesting and educational courses! I really think that I will enjoy this experience.

By saransh s

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Feb 6, 2023

Helped me get the basic idea of machine learning and gave me a basic understanding on famously used algorithms.

By wang z

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Jan 29, 2023

excellent course material!

Feels like being babysit all the way through.

Wishes the course team all the best!!!

By sagar l

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Jan 3, 2023

truly build your fundamental and strengthen your both theoretical and practical knowledge on machine learning.

By Ashutosh S

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Nov 9, 2022

I liked the lab part the most. I was able to understand how to implement models using python and its libraries

By Vu T

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Jul 6, 2022

This course explained so many concepts I found difficult before starting it. 5/5. Thank you very much Coursera!

By Lars F

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Jan 7, 2024

Great course, fantastic explanation to understand the algorithms and math behind regression and classification

By SUHAS Y ( G

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Sep 15, 2023

IT WAS A AN INFORMATIVE COURSE UNDERSTANDING THE UNDERLYING THEORETICAL CONCEPTS OF ML WITH PRACTICAL SESSION.

By PCloud

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Jul 21, 2023

It will be better if the practical labs are more challenging, or make the optional labs as hands on exercises.

By Umjetna I

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Jun 28, 2023

It was much easier to understand than I thought it would be. I am a total beginner, yet I learned a lot there.

By Xiangnan Z

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Jun 19, 2023

Andrew's explanation is very intuitive. It is easy to follow and understand the underlying idea of each topic.

By Abhijeet G

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May 30, 2023

Very much helpful for beginners. Concepts are explained in a very detailed way. Also, all labs are beneficial.

By Liam W

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Oct 11, 2022

Very helpful for someone wanting to understand the basics of machine learning without going too much in depth

By Nirmala R

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Aug 17, 2022

Crisp videos and very nice illustrations! Implementing gradient descent really helps understand the algorithm.

By Rola I

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Sep 20, 2024

الدورة رائعة جدا و مفيدة ، لقد قمت بتعلم الكثير من الأشياء الجديدة و المفيدة في انشاء مشاريع ML ، شكرا رولا

By Darmen M

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Jul 25, 2024

Very beginner friendly course. Experienced learners may view at 1.25-1.5x video speed. Overall, great course!