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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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32,078 个评分

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.

筛选依据：

3826 - Supervised Machine Learning: Regression and Classification 的 3850 个评论（共 6,053 个）

创建者 Greeshma J

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Jun 29, 2024

Best beginner friendly ML course...

创建者 Hong D

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Apr 24, 2024

The course layout is easy to follow

创建者 V Z Z

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Mar 25, 2024

Thank you all for this great course

创建者 ABHINAV

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Feb 14, 2024

Great Course to begin with.........

创建者 Ganesan P

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Feb 3, 2024

It was a great learning experience.

创建者 souhaieb e

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Jan 28, 2024

merci beaucoup pour cette formation

创建者 Josh B

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Jan 22, 2024

Great course for beginners. Thanks.

创建者 Moe A

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Sep 17, 2023

Amazing teacher Thanks to Mr.Andrew

创建者 k200122 A

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Aug 28, 2023

Great in-depth course for beginners

创建者 Sara Y

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Aug 16, 2023

It was a great learning experience.

创建者 Talhi I

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Aug 4, 2023

Amazing, variant and understandful.

创建者 jaa j

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Jul 31, 2023

So so sooooooo gooooooooooooooddddd

创建者 Umar S

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Jul 28, 2023

it's a amazing content-based course

创建者 Soumik S

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Jul 24, 2023

It was a great learning experience.

创建者 Sufyan A

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Jul 21, 2023

very helpful and full of knowledge.

创建者 Karan M

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Jul 7, 2023

amazing mentorship by respected sir

创建者 2085_Sreekant

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May 19, 2023

very easy to understand and helpful

创建者 Upendra R

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May 16, 2023

Very good for clearing fundamental.

创建者 pouriya m

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Apr 28, 2023

It was just as perfect as expected.

创建者 Hunain A

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Mar 25, 2023

nice but audio quality was not good

创建者 Hiro

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Mar 23, 2023

Great beginning to Machine Learning

创建者 Alaa A A A

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Feb 4, 2023

Thanks! words can't really describe

创建者 Ivan S

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Jan 12, 2023

Good Material and good expalnations

创建者 ALOK K S

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Dec 2, 2022

It was phenomenal.

Kudos to the team

创建者 ilma

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Nov 18, 2022

Concepts are excellently explained.