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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
30,409 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

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

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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4851 - 4875 of 5,762 Reviews for Supervised Machine Learning: Regression and Classification

By Liu Y

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Jan 17, 2025

very good

By Kalyana A G

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Jan 8, 2025

Excellent

By Veronica M

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Jan 4, 2025

Excelente

By Anand T

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Dec 23, 2024

Excellent

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Nov 22, 2024

amazinggg

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Nov 10, 2024

Excellent

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Nov 3, 2024

Excellent

By Md. R H K R G

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Oct 27, 2024

very good

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Oct 23, 2024

Very good

By sindhura

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Oct 22, 2024

very good

By Banoth J

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Oct 9, 2024

excellent

By Humberto A P D

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Oct 8, 2024

Muy bueno

By Mudit r S

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Oct 5, 2024

excellent

By Hazel L

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Oct 1, 2024

very good

By 金恒

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Sep 27, 2024

very nice

By Odiljonov R

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Sep 22, 2024

very good

By Abhishek P s

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Aug 20, 2024

fantastic

By BENJAMÍN E A

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Aug 14, 2024

Muy bueno

By Aswin S K

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Aug 7, 2024

Excellent

By MARZOUGUI H

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Aug 6, 2024

excellent

By 郑求文

•

Jul 28, 2024

通俗易懂，深入浅出

By Anushka p

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Jul 28, 2024

Fantastic

By Koki K

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Jul 27, 2024

Perfect!!

By 나우진

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Jul 25, 2024

very good

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Jul 24, 2024

very good