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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
25,283 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

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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2576 - 2600 of 4,949 Reviews for Supervised Machine Learning: Regression and Classification

By Deepak S

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Jul 30, 2024

Really well explained course with high quality content.

By Yashvir M

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Jul 21, 2024

Enhance my critical thinking and problem solving skills

By Akshita D

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Jul 7, 2024

very helpful in revisiting supervised learning concepts

By Soyam S

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Jul 5, 2024

Awesome course. I liked it and learned a lot of things.

By Ayush (

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Jun 25, 2024

Really taught me about ML which I was afraid of thanks.

By Muhammad A

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Jun 9, 2024

Excellent course, well Structured with Quizzes and Labs

By Shahriyar Z

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Mar 8, 2024

Excellent course. Covered all the fundamnetal concepts.

By Amrutha Y

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Feb 16, 2024

Best course for starting your machine learning journey.

By José M M P

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Jan 21, 2024

Amazing content and extremely well designed and taught.

By Wave S

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Jan 4, 2024

great, but some python code is not good enough in week3

By Jahid H

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Jan 2, 2024

Best course on the topic, And Andrew is a great teacher

By Stoic W

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Jul 7, 2023

Very informative and instrumental! 吴恩达的教学风格太平易近人，善解人意了！

By Öykü S B

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Jul 2, 2023

This course has so detailed and well explained lessons.

By Bibhuti R

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Jun 21, 2023

Excellent course. Very well described and documented!!

By Anees U R

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Jun 21, 2023

This course is 100% what I needed. Thank you, Coursera.

By Avi K

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May 24, 2023

Nice course, Good content but also easy to follow along

By Rohit S

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May 23, 2023

It was one of the best course to get an insight into ML

By Varshanth G

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May 16, 2023

one of the finest teaching that i have ever listened to

By Nichita C

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May 1, 2023

Inspiring and exciting beginning of the specialization!

By Darshit S

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Apr 16, 2023

Really good course, understood the concepts really well

By Yogesh O

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Mar 27, 2023

The Course content was nice and covered great examples.

By George L

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Feb 25, 2023

Interesting and incredible course! Thank you Professor!

By Kevin Q

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Feb 17, 2023

Very good course and I also love the style of teaching.

By Naga S D

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Feb 14, 2023

very useful and informative for beginner level learners

By Shashi K V

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Dec 26, 2022

awesome course and instructor tought in very simple way