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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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32,267 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：

5001 - Supervised Machine Learning: Regression and Classification 的 5025 个评论（共 6,077 个）

创建者 ANIKOOL S

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Jun 27, 2023

good course

创建者 Kishan S L

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Jun 10, 2023

Good Course

创建者 vinayak

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May 28, 2023

The best!!!

创建者 faisal a

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Apr 29, 2023

nice course

创建者 mahan s

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Apr 12, 2023

wonderfulll

创建者 Yashvardhan S

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Mar 20, 2023

good course

创建者 Muhammad H M

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Feb 24, 2023

Best Course

创建者 Amrutha S

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Jan 29, 2023

Very useful

创建者 Kaitlyn H

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Dec 31, 2022

Super Good!

创建者 Moema R P d O

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Dec 27, 2022

Excellent!!

创建者 周伟帆

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Dec 15, 2022

是一门非常好的入门课程

创建者 Parth D

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Nov 26, 2022

Top Notch !

创建者 Ahmed Y

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Nov 5, 2022

Great work

创建者 Tseung-ho C

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Oct 30, 2022

Very Good!

创建者 Emily L

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Oct 23, 2022

It's great!

创建者 Mahmoud E

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Oct 21, 2022

successful

创建者 Mohammad F

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Oct 12, 2022

Very Good.

创建者 동우김

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Sep 30, 2022

very good!

创建者 VANDAN R

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Sep 6, 2022

NIce course

创建者 Luqmaan A

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Sep 3, 2022

masterpeice

创建者 Prathamesh K

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Aug 20, 2022

best course

创建者 Amol A

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Aug 12, 2022

Exceptional

创建者 Mohamed A

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Aug 10, 2022

very useful

创建者 Rowan R

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Nov 25, 2025

Well Done.

创建者 Kevin L

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Nov 12, 2025

impressive