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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
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:

2576 - Supervised Machine Learning: Regression and Classification 的 2600 个评论(共 5,940 个)

创建者 Queston P

Jan 25, 2025

Great course. Good introduction to some supervised learning algorithms.

创建者 NoahZZXz Z

Jan 25, 2025

Pretty Good! A well-designed basic ML entry-level course for beginners!

创建者 Rowan M

Oct 13, 2024

Great! learned a lot despite not having taken some of the math classes.

创建者 Huy H B

Sep 10, 2024

This course is really helpfull for me as a beginner, thank you so much!

创建者 Shamik D

Sep 9, 2024

It helps to visualize the core knowledge of Machine Learning. Grateful!

创建者 Kenji S

Sep 3, 2024

The course is explained good and systematically, so easy to understand.

创建者 Ashok A L

Sep 2, 2024

Got a Great knowledge behind the regression algorithms. Thanks Coursera

创建者 Ashutosh C

Jul 27, 2024

got in depth knowledge about regression and classification how it works

创建者 Tirthankar D

Jun 21, 2024

The lectures were great, but the quizzes and assignments were too easy.

创建者 ARAFAT A

May 18, 2024

Amazing course with detailed explanation with a great way of teaching !

创建者 Muhammed F

May 16, 2024

wonderful course . i understand the working behinds of machine learning

创建者 Prakash B

Apr 23, 2024

Explained in detail with both math concepts and programming constructs.

创建者 Tuan H T

Oct 7, 2023

Very helpful, it makes me understand more about machine learning basics

创建者 NAJAM U H

Aug 22, 2023

Best Teacher in The World Sir Andro Ng Love you All concepts are clears

创建者 Muhammad M E

Apr 3, 2023

The material provided is very structured and basic, very useful for me.

创建者 Areli M E A

Mar 15, 2023

Uno de los mejores cursos para adentrarse en el aprendizaje supervisado

创建者 Ronald E

Feb 27, 2023

This was a good introduction to the topic by a very capable instructor.

创建者 milan s

Jan 29, 2023

Awesome course with balanced structure in terms of theory and practical

创建者 Hashir R

Jan 25, 2023

instructor is very talented and give brief instruction about all topics

创建者 Isabella M H

Jan 23, 2023

Excellent course, very helpful to start learning about machine learning

创建者 Leonardo A G

Dec 31, 2022

Excelente para iniciarse. Explicación muy clara de todos los conceptos.

创建者 RAJKUMAR L

Dec 22, 2022

Optional labs and practice labs give a good hands-on and understanding.

创建者 Yussuf L

Aug 29, 2022

Very concise and elaborative. Thank you, Andrew and other facilitators.

创建者 Công L T

Dec 4, 2025

Great course thanks to it I was able to recall the necessary knowledge

创建者 Aleksander B

Nov 22, 2025

Its perfect , the explanation is so good that it is easy to understand