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

4.9
31,037 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

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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5026 - Supervised Machine Learning: Regression and Classification 的 5050 个评论(共 5,909 个)

创建者 Vannsh

Mar 29, 2023

very nice

创建者 Sathiyalokeswaran L

Mar 12, 2023

very good

创建者 Sanket E

Mar 5, 2023

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Mar 1, 2023

excellent

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Feb 28, 2023

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Jan 15, 2023

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创建者 Christian B

Nov 27, 2022

brilliant

创建者 Le H Q S

Nov 13, 2022

very good

创建者 Puneet K

Nov 1, 2022

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创建者 Tania C

Oct 14, 2022

Amazing!

创建者 Moufekkir f

Oct 7, 2022

EXCELENT

创建者 Master K

Oct 2, 2022

Very Good

创建者 Oluwabori I

Aug 28, 2022

Intriging

创建者 Sulaman N

Aug 21, 2022

excellent

创建者 王春鹏

Aug 15, 2022

Fabulous!

创建者 Neel P

Jul 25, 2022

Excellent

创建者 Yona H

Jul 12, 2022

Excellent

创建者 Thành T

Oct 1, 2025

exellent

创建者 Sadiq A B

Jul 8, 2025

love it.

创建者 Ron Y

Jun 18, 2025

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创建者 Vaibhav U

May 25, 2025

The best

创建者 AMINE A

Apr 7, 2025

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创建者 OliviaChen

Apr 1, 2025

inspring

创建者 Ankit K

Mar 12, 2025

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创建者 Suhas Y P

Feb 10, 2025

Good One