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

4.9
stars
24,409 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.

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

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4251 - 4275 of 4,802 Reviews for Supervised Machine Learning: Regression and Classification

By cyberphoenix Y

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Jul 28, 2023

great

By Chidiebere S M

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Jul 22, 2023

great

By 슈쿠룰로/학생/융합시스템공학

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Jul 14, 2023

great

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Jul 13, 2023

great

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Jun 3, 2023

Good!

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Apr 1, 2023

Great

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Mar 8, 2023

great

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Dec 1, 2022

great

By Edepalli S R K

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Nov 19, 2022

goood

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Nov 17, 2022

great

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Oct 22, 2022

good

By Junping V W

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Oct 8, 2022

good

By Garima S

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Oct 7, 2022

NICE

By Niraj K

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Oct 2, 2022

good

By West X

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Sep 28, 2022

Good

By yazidshuqair

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Sep 21, 2022

great

By 桂崇徳

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Aug 22, 2022

great

By Richard G

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Jul 31, 2022

Great

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Jun 30, 2022

Great

By Sepehr S

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Nov 23, 2024

good

By Zona D

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Nov 21, 2024

nice

By Раматуллаев И А

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Nov 13, 2024

good

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Nov 12, 2024

Good

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Nov 10, 2024

good

By Aditi P

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Nov 9, 2024

good