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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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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

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.

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!!

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5201 - Supervised Machine Learning: Regression and Classification 的 5225 个评论（共 5,921 个）

创建者 刘浩天

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Apr 22, 2024

讲的非常好

创建者 Laura H

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Jan 16, 2024

Nice!

创建者 Anand K

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Dec 24, 2023

gajab

创建者 Michael C

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Dec 19, 2023

Great

创建者 LeHuyPhuong

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Nov 17, 2023

Coool

创建者 Quoc V N

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Oct 26, 2023

oke \

创建者 Joel E

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Oct 16, 2023

bueno

创建者 Muhammad R P S

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Oct 16, 2023

great

创建者 Alessandro G

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Oct 5, 2023

magic

创建者 Nguyễn N Q G

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Sep 20, 2023

good.

创建者 cyberphoenix Y

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Jul 28, 2023

great

创建者 Chidiebere S M

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Jul 22, 2023

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Jul 14, 2023

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Jul 13, 2023

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Jun 3, 2023

Good!

创建者 Taona M

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Apr 1, 2023

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Mar 8, 2023

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创建者 Hezbon K (

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Dec 1, 2022

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Nov 19, 2022

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Nov 17, 2022

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Oct 22, 2022

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Oct 8, 2022

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创建者 Garima S

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Oct 7, 2022

NICE

创建者 Niraj K

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Oct 2, 2022

good

创建者 West X

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Sep 28, 2022

Good