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

4.9
stars
18,724 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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1426 - 1450 of 3,877 Reviews for Supervised Machine Learning: Regression and Classification

By Luis C W

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Jul 22, 2022

Curso excelente! Nessa nova versão, ficou ainda mais fácil entender todos os conceitos mostrados!

By Jaikishan

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Jul 16, 2022

Hi Andrew !

You have an unique gift of making complex concepts easy to understand. God bless you.

By Ismail U

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Jul 15, 2022

This course was great! It really help me to understand Supervised ML. But quiz could be more hard

By Hamid R

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Jul 7, 2022

It's the best course i've ever took. I want to thank Andrew for his eloquent and brilliant teach.

By Johannes H

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Jan 30, 2024

I am a laymen in this field and want to understand ml. This course was perfect for this purpose!

By Quân H N

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Sep 9, 2023

The course is very good, quality and so easy to understand for beginner. Thank you professor s.

By Aditya M

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Jun 9, 2023

I am simply in AWE how Andrew explained the concepts in so simple and easily understandable way.

By Lev F

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May 12, 2023

It's amazing if you don't mind math and Python code. Hands down the best course on ML out there.

By Jees A

•

May 11, 2023

Exceptional learning experience, a must have for beginners in ML, really loved the course ❤️❤️❤️

By david z

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Jan 3, 2023

the sound wasn't perfect. As a international student I understood the course only with subtitles

By SAADDIN N S

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Nov 3, 2022

Great Course from a great teacher. I get strong fundamentals of machine learning in this course.

By Gilles M

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Sep 11, 2022

Excellent course design and content. Andrew Ng is one of the best teachers you can hope to get.

By OLUWAFEMI A

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Jul 28, 2022

I love the course. Easy to follow explanations and practical examples. The Labs were very useful

By Alessandro G

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Mar 10, 2024

Not too difficult, not too simple, just the right place to start machine learning in my opinion

By Ahtasham H

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Jan 15, 2024

From class lecture to lab everything was awesome. Thanks Coursera for providing Financial Aid.

By PAPPU B

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Jan 5, 2024

It's really amazing experience with Andrew Ng. His explanation was outstanding. Thank you sir.

By Bhupathi R

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Aug 27, 2023

Brilliant course to get started in Machine Learning, great way of teaching. Highly recommended.

By Ammar Y

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Feb 1, 2023

the course was good material was good and have nice topices and lessons was easy to understand

By Mersibon M M

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Jan 14, 2023

What an amazing course. You are an extraordinary person. Thank you for giving me this chance.

By Rajasekhar R P

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Dec 27, 2022

This course was helpful to get started with deep learning. Thank you coursera for finacial aid.

By ASHUTOSH S

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Dec 5, 2022

This course provides an in depth knowledge on Regression models and their real time appication

By Swathi

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Nov 21, 2022

Explanation was really good, understood every bit and optional lab was bonus for implementation

By 王奕翔

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Oct 23, 2022

Though I had learned a similar course before, I feel this one systematic and benefit me a lot.

By Muhammad K H

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Sep 29, 2022

Such an awesome course, really helpful and well organized, easy to follow and highly valuable.

By Maxim K

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Aug 11, 2022

Really helped me get a foundational knowledge behind the methodologies used in machine learning