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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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31,343 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：

4151 - Supervised Machine Learning: Regression and Classification 的 4175 个评论（共 5,935 个）

创建者 Prateek

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Jun 3, 2023

All very good and useful.

创建者 Afdoni P S

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Apr 7, 2023

yoyoyoyoyooy marveloussss

创建者 Adam d G

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Jan 30, 2023

Great overview of basics.

创建者 Alec P

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Jan 8, 2023

The labs are my favorite!

创建者 Harsh s

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Dec 27, 2022

good understanding course

创建者 Eric T

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Sep 3, 2022

Thank you for the course

创建者 Hyeon Y

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Aug 27, 2022

Great course! Thank you.

创建者 Zeeshan K Y

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Aug 24, 2022

Thank you Deeplearning.ai

创建者 Bảo T

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Jul 28, 2022

Nice and ez to understand

创建者 Fazal K

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Jul 23, 2022

Good start for a beginner

创建者 Aditya N G

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Jul 11, 2022

Great Learning Experience

创建者 Pawan C

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Jul 10, 2022

great learning experience

创建者 Hakan D

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Nov 24, 2025

I like the optional labs

创建者 SONU K

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Nov 15, 2025

nice experience till now

创建者 Diana K

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Jul 14, 2025

Difficult but insightful

创建者 Sarthak K

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Jun 11, 2025

Nothing from Everything!

创建者 Yipeng L

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May 18, 2025

Very Good Lesson for me!

创建者 HUỲNH H Đ

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May 9, 2025

That is a great lesson !

创建者 SoundsForGamers

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Apr 16, 2025

Very interesting. Thanks

创建者 Vikram A

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Mar 23, 2025

Was an very great course

创建者 Mikhail T

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Mar 12, 2025

Absolutely great course!

创建者 Renato A S

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Feb 21, 2025

sensacional so agradecer

创建者 Kakali M

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Dec 9, 2024

experience was very nice

创建者 Kareem M

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Sep 22, 2024

Thanks for your hard job