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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：

976 - Advanced Learning Algorithms 的 1000 个评论（共 1,295 个）

创建者 Arsal B

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Sep 20, 2023

excellent course

创建者 Yashu S

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Sep 2, 2023

legendary course

创建者 Maulaya R

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May 20, 2023

Amazing approach

创建者 Andrew P

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Jan 14, 2023

i love andrew ng

创建者 Daniel M

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Dec 9, 2022

Excellent course

创建者 OLUWAFEMI A

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Aug 18, 2022

Excellent Course

创建者 Deleted A

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Jul 16, 2022

excellent !!!!!!

创建者 ADOYTA D E

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Oct 28, 2025

it is very good

创建者 MD. M H

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Aug 18, 2025

Helped me a lot

创建者 Bhawana y

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Jul 11, 2025

its pretty good

创建者 Diego C C

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Nov 12, 2024

ducking amazing

创建者 Pankaj G

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Jun 8, 2024

Awesome course.

创建者 Yiqing W

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Apr 11, 2024

Absolutely good

创建者 Amin M

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Nov 5, 2023

Amazing course!

创建者 Behzad

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Aug 28, 2023

Amazing course!

创建者 Benjamin L

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Jul 30, 2023

Amazing course!

创建者 Hernán O L

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Jul 19, 2023

Simply excelent

创建者 Harsh S

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Jun 21, 2023

jiferk;gknxyk;o

创建者 Jananga K

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Feb 1, 2023

Awesome content

创建者 Eyad N

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Oct 1, 2022

perfect course

创建者 Grantigui B D

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May 11, 2025

Très important

创建者 Jason D

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Jan 15, 2025

awesome class!

创建者 Farzaneh J (

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Aug 23, 2024

really enjoyed

创建者 Uttam P

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Aug 3, 2024

Awesome course

创建者 Renan d B L

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Jun 28, 2024

Amazing course