Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (6060 reviews)

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....

3976 - Supervised Machine Learning: Regression and Classification 的 4000 个评论（共 6,053 个）

创建者 Ragulkanna V

•

Dec 2, 2025

Great for learning basics of ML

创建者 Celismar O

•

Sep 27, 2025

Excellent. Very well explained.

创建者 Francesco D

•

Aug 13, 2025

Outstanding Learning Experience

创建者 Jingsheng L

•

Jun 16, 2025

pretty engaging and heuristics.

创建者 Parth S

•

May 16, 2025

Complex math made easy by tutor

创建者 Staffan L

•

Mar 22, 2025

Well presented and interesting.

创建者 Oloo

•

Jan 13, 2025

helpful impressive and exciting

创建者 mahesh b

•

Sep 13, 2024

Very good course to start with.

创建者 Nikhil B

•

Aug 25, 2024

Best course by the best teacher

创建者 Gurjot S

•

Jul 21, 2024

tremendous course to start with

创建者 Debshuvra S

•

Jul 9, 2024

The course is literally so good

创建者 Jaider S M Q

•

Jun 22, 2024

Es el mejor curso que he tomado

创建者 vincent s

•

May 29, 2024

Very clear and useful knowledge

创建者 Rolando R Z C

•

Apr 25, 2024

Very carefully designed course.

创建者 Mohamed A

•

Apr 4, 2024

The best course for this field.

创建者 FEDI L

•

Mar 22, 2024

Extremely inspiring and helpful

创建者 Peter V E

•

Mar 19, 2024

Great course! Very well taught.

创建者 Deleted A

•

Feb 16, 2024

this course is very interesting

创建者 Joseph D

•

Dec 5, 2023

Very well organized and taught!

创建者 Jimi W

•

Sep 4, 2023

Everything is explained clearly

创建者 Liaqat N

•

Sep 2, 2023

It was fun learning this course

创建者 Reza N

•

Aug 22, 2023

The best course for learning ML

创建者陈爽羽

•

Aug 21, 2023

非常棒的一门课，让我初步了解了机器学习，十分感谢各位老师的帮助

创建者 Dilyana D

•

Aug 1, 2023

Very well paced and structured!

创建者 Nirjara B

•

Jun 22, 2023

Very good course for beginners.

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

课程概述

热门审阅

3976 - Supervised Machine Learning: Regression and Classification 的 4000 个评论（共 6,053 个）