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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：

951 - Advanced Learning Algorithms 的 975 个评论（共 1,295 个）

创建者 Amir S M E

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Sep 29, 2025

Great Information

创建者 sangam p

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Jan 14, 2025

impressive course

创建者 Raza H

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Dec 18, 2024

Awesome Course !!

创建者 Sachit S

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Oct 24, 2024

Excellent course!

创建者 Massine E

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Sep 29, 2024

Excellent Course!

创建者 Vivek K

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Jun 19, 2024

Brilliant Course!

创建者 sulaiman s y m

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Feb 18, 2024

is a great course

创建者 Mohammad G

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Feb 2, 2024

It was amazing..!

创建者 Joao D

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Jul 10, 2023

Curso fantástico.

创建者 sy c

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May 2, 2023

Excellent course!

创建者 Carel T

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Mar 21, 2023

Excellent! Thanks

创建者 Manoj K

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Jan 23, 2023

Excellent course!

创建者 Monika L

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Nov 11, 2022

Excellent course!

创建者 José B P

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Nov 3, 2022

Excellent course!

创建者 FU D

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Oct 31, 2022

Excellent course!

创建者 Ankan S

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Oct 17, 2022

Very nice course

创建者 Srinivas K B

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Oct 8, 2022

Very nice course

创建者 Fernando A

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Jul 1, 2022

Excellent course!

创建者 Fabián H L V

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Feb 22, 2026

The best course!

创建者 Piyush S

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Jun 19, 2025

Greate Course!!!

创建者 Nguyen T

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Dec 9, 2024

Excellent course

创建者 Sagar P

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Oct 2, 2024

Great experience

创建者 Sandra V

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May 14, 2024

Very interesting

创建者 Jiayi Q

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Jan 28, 2024

Wonderful class!

创建者 Paromita K

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Dec 18, 2023

Excellent course