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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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8,631 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：

926 - Advanced Learning Algorithms 的 950 个评论（共 1,295 个）

创建者 parag j

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Apr 2, 2023

very good instructor

创建者 Randheer K

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Aug 25, 2022

i have learnt a lot.

创建者 Subrata M

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Aug 19, 2022

Very well explained.

创建者 Aishwarya S

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Jul 27, 2022

LOVED THE JOKES TOO!

创建者 M.K.I.D. W

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Dec 28, 2025

thank you very much

创建者 Roberto C M V

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Sep 9, 2025

Excellent course!!!

创建者 SIBAJIT M

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Oct 26, 2024

In-Depth , relevant

创建者 Mehmet C

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Jun 15, 2024

very helpful course

创建者 mbark a

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Apr 27, 2024

Was a great course!

创建者 Thảo N

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Feb 4, 2024

it's a great course

创建者 Mairaj Z

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Oct 23, 2023

excellent course!!!

创建者 Yên H

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Jan 28, 2026

Bài học rất thú vị

创建者 NarasimhaMurthy V

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Oct 12, 2025

Excellently taught

创建者 Hakan T

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Jul 13, 2025

Awesome, as always

创建者 Srijeeta M

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Sep 29, 2024

its a great course

创建者 raid a B

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Mar 30, 2024

Andrew is the best

创建者 Axel B

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Mar 22, 2024

Very informational

创建者 Anshu A

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Dec 31, 2023

Well taught course

创建者 Inam u H

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Jun 30, 2023

great explanations

创建者 Guna S K

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May 23, 2023

cleared my basics.

创建者 Ricardo M

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Oct 19, 2022

Excellent course!!

创建者 阮方

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Oct 5, 2022

easy to understand

创建者 Sohaib A

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Aug 7, 2022

Amazing experience

创建者 Nabil G

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Dec 28, 2025

Excellent Course.

创建者 Sirisha S

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Oct 13, 2025

loved the content