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
31,265 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：

5176 - Supervised Machine Learning: Regression and Classification 的 5200 个评论（共 5,916 个）

创建者 YUG J

•

Oct 10, 2022

Best.

创建者 Amani D

•

Aug 20, 2022

thanks

创建者 seyed m s m

•

Jul 18, 2022

thanks

创建者 Muhammad M D

•

Jul 8, 2025

Great

创建者 Thắng V Đ

•

Jun 26, 2025

great

创建者 Peter U O

•

Jun 11, 2025

great

创建者 Starling J D A

•

Apr 2, 2025

great

创建者 Mete U

•

Mar 18, 2025

GREAT

创建者 Wahid G

•

Feb 7, 2025

Great

创建者 Ferdous H

•

Jan 3, 2025

Great

创建者 Dilina R

•

Dec 22, 2024

Great

创建者 Vedant P

•

Dec 18, 2024

Great

创建者 Liyang W

•

Nov 10, 2024

great

创建者 Avishkar A S

•

Oct 28, 2024

great

创建者 Diah A S

•

Oct 13, 2024

keren

创建者 Ahmed Q

•

Sep 5, 2024

Great

创建者 Sina Z J

•

Jul 29, 2024

Great

创建者 21_085 R E S

•

Jun 2, 2024

Great

创建者 Suandi S M

•

Apr 27, 2024

coool

创建者 刘浩天

•

Apr 22, 2024

讲的非常好

创建者 Laura H

•

Jan 16, 2024

Nice!

创建者 Anand K

•

Dec 24, 2023

gajab

创建者 Michael C

•

Dec 19, 2023

Great

创建者 LeHuyPhuong

•

Nov 17, 2023

Coool