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：

4026 - Supervised Machine Learning: Regression and Classification 的 4050 个评论（共 6,079 个）

创建者 gautam g

•

Jul 23, 2022

Excellent course for beginner.

创建者 PhucVTHE161744

•

Jul 12, 2022

Super useful for beginner in AI

创建者 maleeha

•

Nov 14, 2025

Excellent course for beginners

创建者 Haouchine Y

•

Jan 4, 2025

Excellent course for beginners

创建者 Syed W B U

•

Dec 15, 2024

Nice course start is difficult

创建者 Amir K

•

Sep 11, 2024

Excellent course for beginners

创建者 Nima R

•

Aug 12, 2024

It's good course for beginners

创建者 Roaa M

•

Aug 4, 2024

Very good, fun and very useful

创建者 Chakradhar S

•

Jul 26, 2024

excellent profound and amazing

创建者 HASANCAN A

•

Jul 14, 2024

Excellent and perfect course .

创建者 Arshdeep K

•

Jun 25, 2024

Everything was well explained.

创建者 RATHOD Y A

•

Jun 11, 2024

it is a nice and very helpfull

创建者 KY

•

May 2, 2024

best explanation, best teacher

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!