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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：

2176 - Supervised Machine Learning: Regression and Classification 的 2200 个评论（共 5,936 个）

创建者 Guillermo V

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May 8, 2023

Great introduction course, touching all the bases with even a bit of depth on the matter.

创建者 Shangxuan L

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Apr 24, 2023

It uses a rather clear way to impart the most important concepts about machine learning!

创建者 Muhammad S

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Mar 24, 2023

A very good introduction to machine learning. Concise and easy to understand explanations

创建者 Yiyi W L

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Jan 8, 2023

I really enjoy this course and I do learn a lot about regression and classification model

创建者 satyam d

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Dec 26, 2022

This course gives the indepth understanding of how these ML libraries work in very depth.

创建者 Daniel B

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Dec 23, 2022

Best ML course on the planet! Thank you all and also the community forum is very helpful.

创建者 Vivek C

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Nov 7, 2022

its good for freshers and a must try and believe me it has good clarity on basic concepts

创建者 Pamella V G F

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Oct 15, 2022

Excelente curso, incrível aprender na pratica sobre machine learning, estou muito feliz!

创建者 Kajal P

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Oct 9, 2022

from "Woaaah, how?" to "oooohkay, gotach!" totally worthy course! Andrew Ng is the best!

创建者 Amadou S

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Aug 25, 2022

Very well organized, great explanations and the most important, very good illustrations.

创建者 Syam M

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Jan 4, 2025

you will a get an overview of ML with clean and neat explanation with examples and labs.

创建者 Aamer B

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Sep 12, 2024

It was a nice journey with this course! I enjoyed the topics and the presentation of ML.

创建者 Sean T

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Jul 22, 2024

Great balance of relevance and depth. Uses everyday examples to make concepts intuitive.

创建者 SATYAKI T

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Jun 23, 2024

This course is so fundamental and so good and the hands-on exercise makes it even better

创建者 John K S

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May 22, 2024

Very detailed and simple, though a bit complicated to understand the code implementation

创建者 付宇

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Sep 12, 2023

This course is very good, and gives me some intuitions on regression and classification!

创建者 Daniel C

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Sep 1, 2023

This course is for people who is starting in Machine Learning world, I love this course.

创建者 Rhys A

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Jun 18, 2023

Great to be able to put the theory into practice to gain a better intuition of concepts.

创建者 Victor N

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Feb 11, 2023

This course provided me with all the necessary insight to start applying ML in business.

创建者 DEBJEET D

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Feb 11, 2023

Thanks, Andrew Ng and Coursera for providing such a course with the world's best tutors.

创建者 Alvaro

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Nov 2, 2022

The content is amusing and the labs are really useful to help you to get the concepts :)

创建者 Hicham M

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Oct 8, 2022

nice course i've learned everything about supervised learning to start maching learning

创建者 Rishabh G

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Sep 21, 2022

I think the course has been very well developed. The concepts were also easy to follow.