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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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31,265 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：

4551 - Supervised Machine Learning: Regression and Classification 的 4575 个评论（共 5,921 个）

创建者 George H

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Feb 4, 2023

Excelent course.

创建者 Mudasser A

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Jan 12, 2023

Best Course Ever

创建者 Hải N H

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Jan 3, 2023

Very good course

创建者 Daniel M

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Dec 9, 2022

Excellent course

创建者 MANISHA E E (

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Nov 10, 2022

great experience

创建者 Jadid

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Nov 1, 2022

Very good course

创建者 Prashant K

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Oct 31, 2022

EXCILENT COURSE

创建者 Amit C

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Oct 13, 2022

Excellent pace.

创建者 Eli H

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Oct 11, 2022

Very great intro

创建者 朱志豪

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Sep 11, 2022

非常的细致、生动，绝非浪得虚名！

创建者 songjiale

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Sep 9, 2022

very good class

创建者 phuong a d

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Aug 16, 2022

Excellent Course

创建者 abdul h

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Aug 10, 2022

Best Best Best!

创建者 Tianxiu Z (

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Aug 9, 2022

Basic and handy.

创建者 Aiyedun R

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Aug 5, 2022

Very explanatory

创建者 arian d

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Jul 27, 2022

best course ever

创建者 Aishwarya S

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Jul 25, 2022

AMAZING. PERIOD.

创建者 Benedict N Y E

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Jul 24, 2022

like the quizzes

创建者 Jim R

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Jul 22, 2022

Very well done.

创建者 Susmit S

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Jul 14, 2022

Loved the course

创建者 Aquiles B

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Jul 14, 2022

Excellent Course

创建者 文军 彭

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Jun 29, 2022

Teach me a lot!

创建者 Matias R C

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Dec 1, 2025

superbuen curso

创建者 deenaa P

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Sep 29, 2025

best instructor

创建者 Tomás T

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Sep 16, 2025

Amazing course!