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....

4026 - Supervised Machine Learning: Regression and Classification 的 4050 个评论（共 6,053 个）

创建者 Abbas M D

•

Apr 12, 2024

This is a really good course .

创建者 sheriff s

•

Mar 17, 2024

Very good course for beginners

创建者 Aaron T

•

Jan 18, 2024

Simply Outstanding. Thank you.

创建者 Vignesh B

•

Dec 30, 2023

Excellent course for beginners

创建者 AAYUSHMAAN C G

•

Dec 23, 2023

Completely an excellent course

创建者 Jorge B P C

•

Oct 27, 2023

The best teacher I've ever had

创建者 WANG, C

•

Sep 3, 2023

This is an incredible tutorial

创建者 Syed T

•

Aug 30, 2023

Wonderful course for beginners

创建者 Rumyana A

•

Aug 29, 2023

Amazing course! Learned a lot.

创建者 Muhammad S

•

Aug 25, 2023

Excellent, especially the labs

创建者 Jatin R

•

Jun 19, 2023

Arigatou gozaimasu , Andrew Ng

创建者 Shreyans J

•

Mar 15, 2023

Mr. Andrew is a great teacher!

创建者 Shames Y

•

Feb 21, 2023

I had fun completing this... S

创建者 Huajie C

•

Feb 4, 2023

Best course I've ever learned.

创建者 Attila K

•

Jan 27, 2023

The course was simply amazing!

创建者 Aman M

•

Dec 15, 2022

Good, I recommend this course.

创建者 naro

•

Oct 30, 2022

I really learn a lot from it!

创建者 muhammad a a

•

Oct 29, 2022

Amazing and so easy to learn.

创建者 JULIUS M

•

Sep 6, 2022

It has been an amazing course

创建者 Zaur s

•

Aug 30, 2022

Excellent starting point on ML

创建者 Happy

•

Aug 14, 2022

Excellent course for Begineers

创建者 Bizor B

•

Jan 11, 2026

Отличный и информативный курс

创建者 Asmamaw A

•

Dec 11, 2025

it was so helpful and better.

创建者 Ionut-Alin D

•

Oct 23, 2025

Very useful for my PhD Thesis

创建者 Saprykin A

•

Oct 23, 2025

Thanks, Andrew! Great course.

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

4026 - Supervised Machine Learning: Regression and Classification 的 4050 个评论（共 6,053 个）