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

4.9
stars
26,536 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

AD

Nov 24, 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.

FA

May 25, 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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1701 - 1725 of 5,145 Reviews for Supervised Machine Learning: Regression and Classification

By bathula k

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Dec 11, 2024

there are a few little things that didn't get into my brain , but overall its a great to learn from you

By Armin R

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Jul 23, 2024

Andrew is a great instructor who effectively introduces key concepts with good examples in this course.

By Manoj K V

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Jul 2, 2024

Great in-depth understanding of 'How actually ML models are built? And how do they work and their need'

By Syed Z H R

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Apr 21, 2024

Amazing course, great content, beginner friendly lectures and labs and assignments. Highly recommended!

By Margot V

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Mar 10, 2024

Great course! A solid mix of model theory, math rationales and coding practice. Very beginner-friendly.

By Blade

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Nov 26, 2023

I am very appreciative of your great explanation, and I'm looking to finishing the rest of your courses

By Abhilash A

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Nov 7, 2023

Excellent course!! Worth investing your time. Thanks Andrew Ng for articulating the concepts so well :)

By Matthew D

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Sep 12, 2023

Material was well structured and easy to follow. Doesn't assume any prior Python or Calculus knowledge.

By Abdul S K

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Sep 7, 2023

One of the best courses in Supervised Machine Learning so Far. Teaching pure fundamentals from scratch.

By Sarwari M

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Jul 12, 2023

His teachings and explanations are wonderful, easy to understand and very engaging. Loved the course!!!

By Ha T

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Jun 27, 2023

very good instructors Andrew, simple explanations with comprehensive view to bridge to Machine Learning

By Mohammadali S

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Jun 16, 2023

Good course for starting machine learning and obtain a perspective about regression and classification.

By Sai p M

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May 19, 2023

It was an excellent course to learn. This was the best course I have ever taken. Wonderful teaching way

By MD. R H M

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Apr 3, 2023

For Beginner to Mid-level Experts - Theory (5/5)

Prof. Andrew Ng's Presentation of the Topics - AWESOME!

By Sarmad I

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Mar 18, 2023

A very well and organized effort by the author to introduce beginners to the world of machine learning.

By Michelle H

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Jan 8, 2023

This was a great course and the Jupyter Notebooks really help you to make sure you understand the math.

By Deekshith L

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Dec 14, 2022

Thankyou sir for providing me financial aid , This course provided me basic knowledge and idea about ML

By Mohammad S

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Aug 9, 2022

It's a really authorotive course that I have ever seen. Thanks all team are made a bade to this course.

By Diar S

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Dec 31, 2024

Fantastic explanations, easy to follow, great examples and interactive labs made it very fun to learn!

By Witmeyer

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Dec 2, 2024

A clear and perfect course for beginners, even if we've never typed a single line of code in our life!

By Lucas M C M

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Oct 1, 2024

Professor excepcional e conteúdo perfeito... Estou impressionado com a qualidade dessa especialização.

By YASHI P

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Sep 1, 2024

Andrew ng teaches excellently with a focus on explaining things rather than leaving it for mugging up.

By Fernando M

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Aug 29, 2024

Great course, great teacher. A clear introduction to a complex subject with focus on an easy approach.

By Mark R

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Jun 5, 2024

Fantastic course! The content was well-structured and the explanations were clear. Highly recommended!

By Aung K

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Mar 22, 2024

great course for everyone passionate about AI and ML, Thanks all for your great effort in this course.