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

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31,265 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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!!

筛选依据：

5001 - Supervised Machine Learning: Regression and Classification 的 5025 个评论（共 5,926 个）

创建者 Aswin S K

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Aug 7, 2024

Excellent

创建者 MARZOUGUI H

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Aug 6, 2024

excellent

创建者 郑求文

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Jul 28, 2024

通俗易懂，深入浅出

创建者 Anushka p

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Jul 28, 2024

Fantastic

创建者 Koki K

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Jul 27, 2024

Perfect!!

创建者 나우진

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Jul 25, 2024

very good

创建者 Kaustubh K

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Jul 24, 2024

very good

创建者 mohamed m

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Jul 18, 2024

excellent

创建者 ADITYA G

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Jul 3, 2024

amazing!!

创建者 Mo M

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Jul 2, 2024

Excellent

创建者 Juan F C D

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May 24, 2024

Excellent

创建者 Gargi S

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Mar 26, 2024

awesome!!

创建者 高田優希

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Feb 15, 2024

bery good

创建者 Arfa

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Jan 29, 2024

very cool

创建者 Ayoub A

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Jan 28, 2024

trés joli

创建者 Aldo N

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Jan 24, 2024

The best!

创建者 Mohamed E

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Jan 23, 2024

Excelente

创建者 Anjali A S

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Jan 17, 2024

very good

创建者 Anoushka P

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Jan 4, 2024

Great one

创建者 Antonis T

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Dec 20, 2023

Thank you

创建者 Km A S

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Dec 9, 2023

excellent

创建者 ahmed e

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Nov 23, 2023

very good

创建者 Fatima U

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Oct 31, 2023

excellent

创建者 Deleted A

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Oct 29, 2023

fantastic

创建者 Jomarie O

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Oct 25, 2023

very nice