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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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31,265 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

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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4701 - Supervised Machine Learning: Regression and Classification 的 4725 个评论（共 5,921 个）

创建者 Sathvik S G

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Jan 9, 2025

Very helpful!

创建者 Vinícius M

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Jan 2, 2025

Great course!

创建者 Miguel O R

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Dec 18, 2024

Great course!

创建者 韩秀程

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Nov 18, 2024

很棒的入门课程！强力推荐！

创建者 Malak S

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Oct 22, 2024

Great Course!

创建者 Ennouamane K

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Oct 1, 2024

Great course.

创建者 Chitra M G 2

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Sep 2, 2024

good teaching

创建者 Bharath S

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Aug 11, 2024

Well planned.

创建者 Izaias J

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Aug 8, 2024

Just great!!!

创建者 Ronald N

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Aug 7, 2024

Great course.

创建者 Mammad M

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Aug 1, 2024

Great course!

创建者 Chaima B

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Jul 21, 2024

i'm satisfied

创建者 Prof H F

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May 8, 2024

Really good !

创建者 Ankit

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May 1, 2024

great course!

创建者 Liliia E

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Apr 4, 2024

Thanks a lot!

创建者 Alexander J

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Mar 18, 2024

Great course!

创建者 Shivam A

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Mar 14, 2024

Great Course!

创建者 Vidyut K

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Jan 31, 2024

Nicely taught

创建者 Dimitrios - M A

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Jan 28, 2024

Great course!

创建者 nguyen t t

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Jan 6, 2024

nice and good

创建者 Sabeur M

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Dec 20, 2023

Great courses

创建者 Mehdi K

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Nov 10, 2023

perfecttttttt

创建者 Imam U

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Oct 21, 2023

Great for all

创建者 Aditya T

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Oct 6, 2023

v good course

创建者 Liam B

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Aug 29, 2023

Great Course!