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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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31,343 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：

2451 - Supervised Machine Learning: Regression and Classification 的 2475 个评论（共 5,939 个）

创建者 Ann T S D

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Aug 20, 2023

I've learned a lot through this course. Great instructor !Great curriculum!!

创建者 Natalie L

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Aug 1, 2023

Good introduction to some basic concepts, love the practical experience too.

创建者 ABDULKHALEQ A A

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Jul 8, 2023

The Best friendly entry course to Machine Learning field, highly recommended

创建者 Vignesh S

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Jun 26, 2023

The best course for getting started on your journey in ML and AI for sure !!

创建者 Abdelaziz S m a

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May 2, 2023

It was super super informative and I gain a lot of knowleadge here, thanks !

创建者 HIMANSHU L

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Mar 26, 2023

Great Course. Very Helpful for any machine Learning practitioner or beginner

创建者 Rajesh B

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Mar 22, 2023

Meaningful and in-depth understanding about linear and logistic regressions.

创建者 Muhammad H K

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Feb 18, 2023

To the point and Amazing Course …. Thanks Sir Andrew Ng and Thanks Coursera.

创建者 Muhammad A H

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Dec 24, 2022

This course is one of the best resources to get started in machine learning.

创建者 Hunain A

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Sep 26, 2022

It was absolute wonderful at the pace and details, the course went through.

创建者 Louis S

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Sep 17, 2022

Excellent introduction to ML. Too basic for people with a background in DS.

创建者 Баран Д І

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Aug 29, 2022

The structure of course is amazing. Explanation is decent! 5 starts no doubt

创建者 Trinanjan D

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Aug 23, 2022

It was an excellent course with simple understanding and easily presentable.

创建者 AbdulRahman A

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Aug 21, 2022

very good course, but i hope to get SVM with Mr.Andrew as i got regression.

创建者 Abbas H B 2 F N L

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Aug 20, 2022

Excellent Course, goes in deeper concepts and makes maths look easy and fun.

创建者 Kizmaz E

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Aug 11, 2022

a very impressive, entertaining and productive course. Thanks for everyting.

创建者 Fabio

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Aug 4, 2022

Great course with fundamentals of linear regression and logistic regression.

创建者 Ahmed S

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Jul 31, 2022

it was amazing and very easy to understand ,I highly recomminded to take it

创建者 Salman A

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Jul 30, 2022

Probably one of the best course for begineers. Thank you Profrssor Andrew Ng

创建者 kunal t

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Jul 22, 2022

This is awesome refresher on the supervised learning, glad I opted for this.

创建者 Steve S

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Jul 1, 2022

I should have taken this course prior to the CNN series. Fantastic job !!!!!

创建者 CHRISTIAN G

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Jun 30, 2022

Wish the assignments were a bit more challenging but the lecture was great!

创建者 Natesh R

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Jan 1, 2025

Best course i have ever seen to know the concepts with mathematical details

创建者 Roshan S

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Nov 5, 2024

This course is one of the reasons why I trust Coursera as my career partner

创建者 Johannes G

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Aug 20, 2024

Great intro to machine learning and for practicing basic python programming