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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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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.

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5126 - Supervised Machine Learning: Regression and Classification 的 5150 个评论（共 6,053 个）

创建者 AmirHosein S

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Jul 8, 2023

very good

创建者 Kislay A

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Jul 7, 2023

Excellent

创建者 Jason Y

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Jul 7, 2023

wonderful

创建者 Ehsan F

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Jun 20, 2023

Fantastic

创建者 A7MED F

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Jun 11, 2023

fantastic

创建者 Izuchukwu S M

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Jun 6, 2023

The best!

创建者 Subham R

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May 21, 2023

OP Course

创建者 Yashvardhan S

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May 11, 2023

Excellent

创建者 Bouthaina T

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Apr 30, 2023

thank you

创建者 DEEPAK K

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Apr 25, 2023

Awesome !

创建者 Vannsh

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Mar 29, 2023

very nice

创建者 Sathiyalokeswaran L

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Mar 12, 2023

very good

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Mar 5, 2023

damm good

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Mar 1, 2023

excellent

创建者 Rajesh T

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Feb 28, 2023

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Jan 15, 2023

very nice

创建者 Christian B

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Nov 27, 2022

brilliant

创建者 Le H Q S

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Nov 13, 2022

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Nov 1, 2022

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创建者 Tania C

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Oct 14, 2022

Amazing!

创建者 Moufekkir f

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Oct 7, 2022

EXCELENT

创建者 Master K

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Oct 2, 2022

Very Good

创建者 Oluwabori I

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Aug 28, 2022

Intriging

创建者 Sulaman N

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Aug 21, 2022

excellent

创建者 王春鹏

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Aug 15, 2022

Fabulous!