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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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31,366 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：

3151 - Supervised Machine Learning: Regression and Classification 的 3175 个评论（共 5,940 个）

创建者 Ahmed F

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Mar 15, 2025

Amazing, especially the labs and the practice labs!

创建者 Sartaj S V

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Feb 21, 2025

Awesome course, fundamentals taught in superb ways!

创建者 Allampati C S R

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Feb 21, 2025

It is a great course to apply for any btech student

创建者 Mahith R

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Feb 17, 2025

Best course with the best mathematical explanations

创建者 Juan C L G

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Dec 2, 2024

Very interesting with helpful and illustrative labs

创建者 Husnain A

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Nov 25, 2024

Best course for beginners to learn Machine Learning

创建者 Devilatha M

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Nov 15, 2024

Exceptionally well structured and delivered course!

创建者 Janith R

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Nov 3, 2024

highly recommend. Lab activities are really amazing

创建者 Shivam K

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Nov 2, 2024

this course is just awesome. Andrew Ng sir just wow

创建者 Sagar P

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Jul 22, 2024

Great course lab which helps in hands- on practice

创建者 Sailesh S

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Jun 22, 2024

Excellent course, easy to understand and implement.

创建者 J T R

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Jun 18, 2024

best course, he teaches with care. from beginnings.

创建者 Puvith K

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May 20, 2024

It was a wonderful course With a pack of knowledge

创建者 Ahmed H

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May 1, 2024

Best course to learning supervised machine learning

创建者 abemelek d

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Jan 10, 2024

Easy to learn and make change on previous knowledge

创建者 Yarik A M

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Dec 19, 2023

Amazing content delivered by a very good instructor

创建者 Talha A

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Nov 26, 2023

extremely helpful if you want to learn theory of ML

创建者 Fangyuan L

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Oct 31, 2023

the materials are very detailed and easy to follows

创建者 Manoj

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Oct 10, 2023

The most adorable course you will see on Coursera💖

创建者 Khaled M

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Jul 21, 2023

It was a great experience with Proffessor Andrew Ng

创建者 George A

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Jun 2, 2023

An excellent and well designed learning experience.

创建者 Graciela F

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May 29, 2023

good teacher

all quiz is good because there's a hint

创建者 akash a

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Apr 9, 2023

Content is good. Instructor teaches very patiently.

创建者 Amritesh P

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Mar 12, 2023

Best course to understand machine learning in depth

创建者 Usama 3

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Feb 21, 2023

It is absolutely best course, opened my mind on ML.