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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

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课程概述

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....

热门审阅

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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5901 - Supervised Machine Learning: Regression and Classification 的 5925 个评论（共 6,053 个）

创建者 Aman Y

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Oct 26, 2023

Nice!

创建者 Houssem E

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Feb 17, 2026

good

创建者 YARRA S V

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Jan 26, 2026

good

创建者 Rutuja S

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Apr 5, 2025

Good

创建者 JANAPATI G 2 B

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Mar 15, 2025

good

创建者 Pokemon G

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Jan 30, 2025

Good

创建者 Anshika S

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Nov 19, 2024

nice

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Nov 17, 2024

good

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Nov 9, 2024

Good

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Oct 19, 2024

good

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Oct 2, 2024

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Sep 29, 2024

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Jun 20, 2024

good

创建者 Jingyasu k L

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Apr 9, 2024

best

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Dec 20, 2023

good

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Aug 30, 2023

good

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Jul 19, 2023

none

创建者 Rohan M

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Jul 1, 2023

Nice

创建者 Rahul B

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Mar 27, 2023

good

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Dec 21, 2022

good

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Nov 16, 2022

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Jul 23, 2022

good

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Feb 3, 2023

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Dec 4, 2025

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Aug 22, 2024

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