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
32,078 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：

4376 - Supervised Machine Learning: Regression and Classification 的 4400 个评论（共 6,053 个）

创建者 Hazem R

•

May 8, 2023

This course is greate

创建者 Zhixuan Z

•

Apr 9, 2023

Very inspiring intro!

创建者 PEDRO A

•

Mar 13, 2023

Incrível e muito bom.

创建者 GuoCheng W

•

Mar 5, 2023

wonderful experience!

创建者 JUMONG E

•

Feb 22, 2023

The content was clear

创建者 SUMAN S

•

Nov 16, 2022

very nicely explained

创建者 Anil P S

•

Sep 21, 2022

The course was goodgo

创建者 Roberto M

•

Sep 18, 2022

A must for starters!

创建者 Md I H H

•

Aug 7, 2022

It's the best course.

创建者 Alireza K

•

Jul 27, 2022

The best course ever.

创建者 Yên H

•

Jan 27, 2026

KHóa học rất bổ ích.

创建者 Yousef M

•

Dec 20, 2025

Really, Great Course

创建者 sulis t

•

Nov 22, 2025

Ilmu yang bermanfaat

创建者 VEDANT A

•

Oct 13, 2025

VERY GOOD FOR BASICS

创建者 Thiago C M S

•

Aug 12, 2025

Muito bem explicado!

创建者 Uday S

•

Jul 31, 2025

Exceptional clarity.

创建者 Viraj M

•

Jul 11, 2025

Perfectly structured

创建者 Semih S

•

Mar 16, 2025

thanks for education

创建者 Kushvinth M

•

Feb 20, 2025

This changed my life

创建者 İbrahim S B

•

Feb 8, 2025

very good and useful

创建者 Meet P

•

Dec 12, 2024

very good teaching!!

创建者 Hardik P

•

Oct 21, 2024

Very Detailed Coarse

创建者 Sepanta M

•

Sep 15, 2024

mamma mia mamma cita

创建者 gktrk k

•

Sep 12, 2024

excellent instructor

创建者 Thorben B

•

Sep 6, 2024

Great course! Bravo!