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
32,290 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

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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：

3601 - Supervised Machine Learning: Regression and Classification 的 3625 个评论（共 6,080 个）

创建者 Pramod W

•

Feb 4, 2024

One of the best courses I've ever studied

创建者 Aruna R J

•

Jan 28, 2024

Useful and Easy to understand. Thank you!

创建者 Rodrigo T

•

Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

创建者 AKSHAT S

•

Dec 6, 2023

excellent explanation and course material

创建者 Pedro N

•

Dec 1, 2023

Short and and to the point . Great course

创建者 Abesingha H M K S

•

Sep 15, 2023

This is the best machine learning course!

创建者 Pituphum S

•

Aug 8, 2023

Valuable and Benefit. Thank a lot for all

创建者 Salman A K

•

Aug 2, 2023

The course is very helpful for beginners.

创建者 Karthikeyan D

•

Jun 14, 2023

Amazing introduction to Machine Learning!

创建者 Satyajit H

•

Jun 10, 2023

The course has been designed excellently.

创建者 Scotley W

•

Apr 7, 2023

Really helpful for basic machine learning

创建者 Falguni R

•

Mar 19, 2023

very helpful to understand all the topics

创建者 Shixin Q

•

Feb 26, 2023

讲的非常仔细，我建议都跟着做每一个练习

要是有课件PowerPoint可以下载就好了

创建者 Frank L

•

Jan 8, 2023

A whole new world is opening up to me now

创建者 Sheharyar

•

Jan 2, 2023

Best ML course ever I learn. Thank you 😊

创建者 ARYAN A 2

•

Dec 9, 2022

It was one of the best course i ever took

创建者 Hu y

•

Dec 5, 2022

Awesome! Very pleasant trip for learning~

创建者 Michael K

•

Oct 31, 2022

The best place to begin your ML journey!

创建者 Bảo T G

•

Sep 12, 2022

Best Machine Learning Course for Beginner

创建者 Omar H

•

Aug 16, 2022

Awesome, The best courses I've ever taken

创建者 Ricardo C E

•

Jul 19, 2022

Very Easy to understand complex concepts.

创建者 MMEHDI A

•

Nov 7, 2025

Awesome and completely beginner friendly

创建者 Mukesh K

•

Nov 6, 2025

concise, conceptual, to-the-point course

创建者 samah f

•

Sep 16, 2025

Very well structured and simple to Learn

创建者 Kunal M

•

Aug 12, 2025

Very nice indepth and easy to understand