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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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31,366 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

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

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：

3301 - Supervised Machine Learning: Regression and Classification 的 3325 个评论（共 5,940 个）

创建者 Mohammadreza G

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Jul 4, 2022

This course solidified my decision to pursue AI!

创建者 anik g

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Jun 23, 2022

Best ML course to gain the foundational skills!!

创建者 Pavle Š

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Dec 15, 2025

Great course, I understood the topic very well.

创建者 Muhammad U T

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Aug 26, 2025

outstanding intuition building and explaination

创建者 Ali Z

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Apr 5, 2025

Le cours est hyper bien structuré et bien fait.

创建者 Yang N

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Feb 28, 2025

Very helpful! Highly recommended for beginners!

创建者 RUSHI P

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Feb 4, 2025

This is the great course that I have completed.

创建者 João V d S

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Jan 14, 2025

Muito bom! De forma simplificada e aprofundada!

创建者 Chintan S

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Nov 20, 2024

Great Course..Thanks for building this material

创建者 Janick Z

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Nov 19, 2024

Andrew Ng - the best professor I have ever had!

创建者 Mohammed A

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Nov 8, 2024

thanks really for supporting me in this course.

创建者 ganesh s

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Oct 3, 2024

Best way to begin your Machine Learning career.

创建者 Faiq E

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Aug 10, 2024

en son notu alamiyorum yardiminiza ihdiyacm var

创建者 Ali K

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Jul 30, 2024

Really necessary for me to achieve other course

创建者 Muzammil M S

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Jul 21, 2024

A proper explanation of machine learning stuff.

创建者 michele m s

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Jul 18, 2024

Muy buena explicación y laboratorios muy útiles

创建者 Anubhav B 4 B C E I

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Jul 16, 2024

great decision to go through this entire course

创建者 Aman K

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Jun 16, 2024

Very effective to understand fundamentals of ML

创建者 Bhawesh S

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Apr 19, 2024

Got all the clarity for the supervised ML algo.

创建者 ANUJ Y

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Apr 18, 2024

Nice, just keep it up we need more such courses

创建者 Yash M

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Mar 27, 2024

the course was very good and easy to understand

创建者 Darshankumar P

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Jan 8, 2024

Awesome learning...Thank you so much professor.

创建者 Itaypiz71 P

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Nov 5, 2023

great course, solid foundation, simple to learn

创建者 Gabriel G

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Sep 3, 2023

Muy bien explicados los conceptos matemáticos!!

创建者 Sean H

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Aug 22, 2023

Provides a great foundation on Machine Learning