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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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31,343 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：

3351 - Supervised Machine Learning: Regression and Classification 的 3375 个评论（共 5,937 个）

创建者 Anup L

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Jul 22, 2024

Best course to start Machine learning journey.

创建者 Huynh N

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Jul 17, 2024

Well structure and appropriate for new learner

创建者 Ali D

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Jun 3, 2024

The course was fantastic and highly practical.

创建者 Mohammad A W

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May 16, 2024

The best course ever. Thank you for making it.

创建者 Dk Y

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Jan 29, 2024

Just need inclusive presentation for the final

创建者 Mahmoud G

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Dec 31, 2023

It is a very organized and informative course.

创建者 Sridhar I

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Nov 18, 2023

Fantastic course on intro to machine learning!

创建者 Ali G

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Nov 18, 2023

Andrew Ng is the best professor i've ever seen

创建者 Shayan S

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Oct 24, 2023

One of the best courses to learn step by step!

创建者 Lookman O S

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Aug 3, 2023

The best machine learning course ever seen !!!

创建者 Jann P C S

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Jul 25, 2023

The information is accurate and well explained

创建者 Abhishek M

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Jun 30, 2023

Great Experience and helped me develop myself.

创建者 Sohail A

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Jun 28, 2023

It was a very effective and informative course

创建者 2K21-CO-454 S

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Jun 20, 2023

Prof. Andrew is just a marvelous instructor!!!

创建者 Muhammad H A

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May 14, 2023

Loved the learning experience. Easy to follow.

创建者 K. D K C

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Apr 26, 2023

Excellent course and the content is very good.

创建者 Emanuel b

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Apr 23, 2023

Very good material, exercises and explanations

创建者 Ivan D

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Apr 17, 2023

Very good introduction to supervised learning!

创建者 Dolrie S

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Apr 2, 2023

its good to know the hint in the assigment lab

创建者 Chanthorn H

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Mar 29, 2023

This is beautiful course for machine Learning.

创建者 realDNA

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Jan 27, 2023

very good lesson for machine learning learners

创建者 Yixuan L

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Jan 13, 2023

excellent beginner lessons, concise and clear.

创建者 Addisu M

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Dec 4, 2022

I gained lot of experience through this course

创建者 Zeyad H

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Oct 26, 2022

Thank you for all of these powerful knowledge

创建者 Hariharan S

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Oct 15, 2022

One of the best course to learn from Coursera