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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：

2826 - Supervised Machine Learning: Regression and Classification 的 2850 个评论（共 5,940 个）

创建者 Lucas G

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Feb 21, 2025

Great for going over intuition, theory, statistics and coding.

创建者 MohammedAbsar

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Sep 16, 2024

this course is giving much more knowledge of Machine Learning.

创建者 Akhil P

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Aug 27, 2024

Excellent For Getting into the World of Machine Leaning and AI

创建者 S C M

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Aug 17, 2024

It is very good for students who want to learn ML effectively.

创建者 Chandana R

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Aug 4, 2024

Very simple and easy to understand, labs are the best resource

创建者 John W

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Jul 18, 2024

Exceptional! Andrew Ng is such a great motivator and teacher!

创建者 21L112 - D C M

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Jul 5, 2024

Very good explaination, understood the core concepts behind it

创建者 Pragya P

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Jun 4, 2024

This course is really helpful in building the basics concepts.

创建者 jorge c

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Mar 11, 2024

Clear explanations and great examples to practice the concepts

创建者 Kritika P

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Dec 17, 2023

I loved the course, it was very informative and well explained

创建者 James C

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Dec 2, 2023

Great presentation of a difficult topic. Highly approachable.

创建者 Amit K

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Nov 20, 2023

Clear and detailed explanation of Machine Learning algorithms.

创建者 PRATHAM W

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Aug 3, 2023

Wonderful course I loved every part of the learning experience

创建者 anik s

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Jun 30, 2023

Great source for a beginner to start learning Machine Learning

创建者 Akshat A

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Jun 22, 2023

I have gained so much through this course over time. Thank you

创建者 Krishnendu S

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May 14, 2023

Exceptionally well-designed course with an exceptional mentor!

创建者 Babar A

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Dec 25, 2022

I enjoyed the course both the lectures and the practical labs.

创建者 Dolly S

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Dec 4, 2022

I really liked the course , gives an entry point to ML world .

创建者 William M

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Aug 17, 2022

Simple and informative leassons. Really enjoyed the material!

创建者 Disha P

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Aug 25, 2025

I need to understand more about the libraries and their usage

创建者 muneeb h

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Apr 17, 2025

amazing course, thankyou for providing such amazing resources

创建者 Raghavendra S R

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Apr 1, 2025

would be more amazing if more hands-on material was available

创建者 Carlos G

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Nov 19, 2024

Great course for people willing to kick off their AI journey.

创建者 Umar R

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Oct 19, 2024

This course provide me good insight on basic Machine Learning

创建者 Kefaet U

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Oct 15, 2024

It's really a very good course for having a foundation on ML.