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学生对 DeepLearning.AI 提供的 Advanced Learning Algorithms 的评价和反馈

4.9
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8,595 个评分

课程概述

In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees 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 theoretical 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

AA

Dec 29, 2024

The course provides an excellent introduction to widely used machine learning concepts, including Neural Networks. While the material can be challenging, it is presented in a digestible manner.

MN

Jul 29, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

筛选依据：

1126 - Advanced Learning Algorithms 的 1150 个评论（共 1,288 个）

创建者 Cristian C R T

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Mar 26, 2023

Graet!

创建者 seyed m s m

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Jan 24, 2023

thanks

创建者 Mohamed H

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Sep 22, 2022

Great

创建者 Ali A

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Mar 22, 2025

great

创建者 Mete U

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Mar 18, 2025

GREAT

创建者 30na r

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Sep 19, 2024

cool!

创建者 Ranjith D R

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Feb 22, 2024

great

创建者 NITHISH K G

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Dec 16, 2023

great

创建者 Vicky D

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Oct 17, 2023

Great

创建者 khawaja s

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Oct 3, 2023

thnks

创建者 DEMAH A S A

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Sep 13, 2023

greet

创建者 Muhammad S

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Sep 7, 2023

Great

创建者 Seyyed M M

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Jun 3, 2023

Good!

创建者 Putu G P A

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Apr 7, 2023

Great

创建者 Yu-Cheng C

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Nov 5, 2022

Nice!

创建者 Piyush J

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Oct 7, 2022

none

创建者 Moksh G

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Jan 10, 2026

Nice

创建者 Moldasheva R

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Jan 3, 2026

good

创建者 Taha

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Dec 10, 2025

good

创建者 DIEGO A L O

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Oct 6, 2025

good

创建者 Deleted A

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Aug 27, 2025

best

创建者 Porumamilla K

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Jul 30, 2025

good

创建者 ASHWANTH S K C

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Jun 1, 2025

good

创建者 Hepprajith P

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Mar 28, 2025

good

创建者 Nguyễn T T

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Feb 28, 2025

Good