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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：

4126 - Supervised Machine Learning: Regression and Classification 的 4150 个评论（共 6,053 个）

创建者 Ankit

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Feb 11, 2025

Very useful and interesting

创建者 Feroz K

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Jan 16, 2025

fantastic, very informative

创建者 200_AKASH S

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Sep 30, 2024

very helpful and conceptual

创建者 charith_neeli

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Sep 2, 2024

Excellent Work By Andrew Ng

创建者 Đinh N L T

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Aug 20, 2024

very good, very informative

创建者 Mohamed H S J

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Jul 30, 2024

i love this content so much

创建者 Akash S

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Jun 16, 2024

Very good and informational

创建者 Nishanth R

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Mar 24, 2024

very useful and interactive

创建者 Koyyada D

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Mar 12, 2024

Andrew sir you are awesome.

创建者 Chikkala L N

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Feb 3, 2024

excellent math involve ment

创建者 Jimmy H

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Feb 1, 2024

great course and instructor

创建者 Idir b

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Jan 24, 2024

Really high quality course.

创建者 MD F K

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Dec 30, 2023

Andrew Ng is the GOAT of ml

创建者 Maaz A

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Dec 15, 2023

superb course for beginners

创建者 Gopal G

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Dec 8, 2023

Great, Interactive course..

创建者 Harshit K

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Nov 25, 2023

best course available in ML

创建者 Omer N

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Sep 10, 2023

Exceptionally great teacher

创建者 marwa o

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Jul 22, 2023

very simple and easy course

创建者 Nandan K

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Jul 20, 2023

please include some project

创建者 Muhammad H M

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Jul 10, 2023

Great concepts and learning

创建者 Aditya G

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Jul 7, 2023

really good for beginners!!

创建者 Derek 典

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May 20, 2023

easy to understand! love it

创建者 Abiton P

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May 18, 2023

best start up for beginners

创建者 Md. Z G

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May 12, 2023

Best beginner friendly one.

创建者 Vedant N

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Mar 16, 2023

It war really good course .