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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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32,078 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：

3101 - Supervised Machine Learning: Regression and Classification 的 3125 个评论（共 6,053 个）

创建者 Ayman M K

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Apr 27, 2024

A good startup course for non experienced AI advocates

创建者 Ashutosh R

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Apr 23, 2024

Wonderful training. Provides a solid foundation in ML.

创建者 PARTH T

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Apr 22, 2024

A brilliant course to start your A.I. journey. Period.

创建者 Gireeraj W

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Mar 24, 2024

really easy to understand course and very well taught!

创建者 THEN A

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Mar 20, 2024

Very informative course with hands-on lab experiences.

创建者 Jeff S

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Jan 10, 2024

Absolutely outstanding. Very high quality throughout.

创建者 Sahil K S

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Nov 27, 2023

good for beginners who would like to learn this course

创建者 Fortuna

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Oct 19, 2023

Really great way to gain intuition on machine learning

创建者 FAISAL A

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Oct 14, 2023

I highly recommend this course to take for ML journey.

创建者 Arjun B

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Oct 2, 2023

Awesome Course. Perfect for someone beginning with ML.

创建者 Emily E

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Sep 10, 2023

Perfect course for anyone looking to enter in AI field

创建者 Sawan K S

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Aug 1, 2023

Great course to get started in Machine Learning space.

创建者 Issaac R

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Jul 25, 2023

Excellent course Prof. Andrew Ng. Thank you very much.

创建者 Abdullah A

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Jul 15, 2023

The course is very interesting and engaging. loved it.

创建者 Sameer A

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May 2, 2023

great course. if you're into ML start with this one..

创建者 Damien G

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Mar 29, 2023

Excellent introduction to supervised machine learning.

创建者 SYED M H S

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Mar 1, 2023

course was awesome a beginner like me learned a lot !!

创建者 Ankit V

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Feb 24, 2023

Great course for beginners and has great explanations.

创建者 saiprasad k

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Jan 15, 2023

Very well-structured course and well taught by Andrew.

创建者 Ghiffary R

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Nov 28, 2022

Detailed and satisfying! Thank you Andrew Ng and Crew!

创建者 Gurugovind G

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Oct 20, 2022

Good course provided with good explain with example's

创建者 Anjali T

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Oct 16, 2022

Optional Labs help a lot, the explainations are goos.

创建者 Aditya G

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Oct 10, 2022

Well explained, well paced course with excellent labs

创建者 Ali G A H

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Oct 10, 2022

This is the best course i've taken on coursera so FAR

创建者 Anízio C

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Aug 4, 2022

The best course i have ever had about machine learning