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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
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32,070 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.

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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5426 - Supervised Machine Learning: Regression and Classification 的 5450 个评论（共 6,053 个）

创建者 Sanjay r

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May 19, 2023

good

创建者 Data I M

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May 15, 2023

good

创建者 TA V B

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Apr 28, 2023

Good

创建者 Phước N N

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Apr 25, 2023

well

创建者 Mohammed S

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Apr 9, 2023

best

创建者 Fitrah S

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Mar 21, 2023

cool

创建者 Isa M I

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Mar 10, 2023

good

创建者 Priyanshu B

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Jan 2, 2023

best

创建者 임재현

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Dec 26, 2022

Good

创建者 Haoyang G

•

Dec 24, 2022

绝对的好

创建者 Priyanshu S

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Dec 19, 2022

nice

创建者 Mehar H

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Nov 14, 2022

good

创建者 Yu-Cheng C

•

Nov 5, 2022

Nice

创建者 Phillip L

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Aug 31, 2022

good

创建者 DEVESH K B

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Aug 26, 2022

good

创建者 Mohamed E

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Aug 21, 2022

good

创建者 ZhenyuChen

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Aug 17, 2022

good

创建者 vinod t

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Aug 12, 2022

good

创建者 Sayem B

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Jul 26, 2022

good

创建者 Mert T

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Oct 2, 2025

wow

创建者 Амирбек Н Ғ

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Apr 20, 2025

фчы

创建者 Carloka B A S M

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Oct 27, 2024

...

创建者 Onalenna E M

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Jun 7, 2024

10.

创建者 Daniel D

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Apr 15, 2024

amz

创建者 Márcio A C B Z

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Mar 18, 2024

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