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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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32,299 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

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.

AM

Jul 16, 2022

It is the Best Course for Supervised Machine Learning!Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

筛选依据：

4301 - Supervised Machine Learning: Regression and Classification 的 4325 个评论（共 6,081 个）

创建者 Ansari A

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Jul 16, 2024

Love the way he teaches

创建者 Muhammad K k

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Jul 8, 2024

It was a great resource

创建者 Kirellos N

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Jul 5, 2024

Thanks a lot Mr. Andrew

创建者 Mahmudul H

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Jul 1, 2024

its very useful course.

创建者 Abhishek S

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Jun 14, 2024

How can I get the PPTs?

创建者 Dan S

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Feb 25, 2024

Very well formed course

创建者 Chaithanya V

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Feb 9, 2024

Intuitive and Inspiring

创建者 Elizaveta K

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Sep 27, 2023

Thanks for this course!

创建者 Archit B

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Aug 30, 2023

Very Nicely Explained .

创建者 Harrison P

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Aug 20, 2023

Very interactive course

创建者 Nabin A

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Aug 16, 2023

Best for ML foundations

创建者 Hamza J

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Jul 15, 2023

Easy to follow through.

创建者 mohsin f

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May 31, 2023

very nice good concepts

创建者 Sundaresan S

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May 19, 2023

nice and more intuitive

创建者 Arpit S

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May 10, 2023

very informative course

创建者 Amresh G

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Apr 16, 2023

very good for beginners

创建者 RUIZE X

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Feb 18, 2023

very easy to understand

创建者 Mohamed M

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Feb 3, 2023

the course is so great.

创建者 Trần T A

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Jan 30, 2023

Easily understandable !

创建者 Om p

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Jan 1, 2023

nice and knowledgeable.

创建者 Rahul D

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Dec 2, 2022

In one word , Amazing !

创建者 Junaid T

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Oct 23, 2022

Excellent Course !!!!

创建者 Anwesha C

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Oct 6, 2022

Excellent explanation.

创建者 邓明

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Sep 16, 2022

Best ML course so far.

创建者 20131A4441 N Y V N S

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Aug 16, 2022

very good for beginners