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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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31,304 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

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

筛选依据：

4101 - Supervised Machine Learning: Regression and Classification 的 4125 个评论（共 5,933 个）

创建者 Farrel H

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Mar 20, 2025

Having a great experience!

创建者 Fatih A

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Jan 11, 2025

It was an excellent course

创建者 Fakhrutdinov A

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Jan 4, 2025

most interesting ML course

创建者 Jiang X

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Jan 1, 2025

Easy to understand and use

创建者 Avishek C

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Nov 25, 2024

Phenomenal course it is...

创建者 BIKRAM S

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Nov 10, 2024

IT IS BEST FOR NOOBS IN ML

创建者 Arafat H

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Oct 3, 2024

Very helpful course indeed

创建者 VISHAL

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Sep 13, 2024

it was a great experience.

创建者 Federico

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Apr 2, 2024

Great introductory course!

创建者 Johan S

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Jan 20, 2024

Great course for beginners

创建者 Jonathan M V

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Dec 26, 2023

Great teacher. Great Labs.

创建者 Lingxuan Z

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Dec 25, 2023

Really good course, bravo!

创建者 Francesco P

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Sep 28, 2023

Bestl course for beginners

创建者 katarina j

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Sep 26, 2023

A big thank you to Andrew.

创建者 Steffen B

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Sep 22, 2023

Thanks Andrew, great work!

创建者 Brett H

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Aug 9, 2023

Just excellent, that's all

创建者 Navya N

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Aug 1, 2023

great course helped a lot

创建者 Mtir M

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Jul 15, 2023

Parfait , Merci beaucoup !

创建者 Satya M P

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Jun 27, 2023

Love it. Awesome teaching.

创建者 Pranav R

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Jun 4, 2023

Loved the content and flow

创建者 Ngakan P W

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Apr 10, 2023

Good, the material so good

创建者 Amay V N

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Feb 15, 2023

Great intro to the subject

创建者 BANDHARU S 1

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Feb 12, 2023

this course is awesome....

创建者 jansher m

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Dec 18, 2022

Great learning experience.

创建者 Anshuman S

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Dec 3, 2022

Fully practical & helpful.