Chevron Left
返回到 Supervised Machine Learning: Regression and Classification

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

4.9
星
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：

4051 - Supervised Machine Learning: Regression and Classification 的 4075 个评论（共 5,937 个）

创建者 Mohammad M

•

Oct 11, 2022

It was perfect

Thanks Andrew

创建者 Sudipta M

•

Oct 9, 2022

Simply Amazing, Amazing !!!!

创建者 Naresh A

•

Oct 2, 2022

nice course its very useful

创建者 Diego A S B

•

Sep 8, 2022

Me enacnto el curso gracias.

创建者 Gerd D B

•

Sep 4, 2022

Awesome guys! Thanks a lot!

创建者 Yousef E

•

Aug 26, 2022

Best.

Thank you Dr.Andrew NG.

创建者 Srinivas P

•

Oct 7, 2025

Great course and instructor

创建者 Davide A P

•

Apr 27, 2025

Very good and well teached!

创建者 Ali E A

•

Apr 20, 2025

very useful and interesting

创建者 SUJAN M

•

Apr 13, 2025

Very concise and important!

创建者 Habibul I

•

Mar 13, 2025

Great course for foundation

创建者 Juan P L L

•

Mar 8, 2025

Excelente curso y material.

创建者 Yousif G

•

Feb 17, 2025

Andrew is just phenomenal!!

创建者 Ankit

•

Feb 11, 2025

Very useful and interesting

创建者 Feroz K

•

Jan 16, 2025

fantastic, very informative

创建者 200_AKASH S

•

Sep 30, 2024

very helpful and conceptual

创建者 charith_neeli

•

Sep 2, 2024

Excellent Work By Andrew Ng

创建者 Đinh N L T

•

Aug 20, 2024

very good, very informative

创建者 Mohamed H S J

•

Jul 30, 2024

i love this content so much

创建者 Akash S

•

Jun 16, 2024

Very good and informational

创建者 Nishanth R

•

Mar 24, 2024

very useful and interactive

创建者 Koyyada D

•

Mar 12, 2024

Andrew sir you are awesome.

创建者 Chikkala L N

•

Feb 3, 2024

excellent math involve ment

创建者 Jimmy H

•

Feb 1, 2024

great course and instructor

创建者 Idir b

•

Jan 24, 2024

Really high quality course.