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

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8,419 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

DG

Apr 14, 2023

Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

筛选依据：

976 - Advanced Learning Algorithms 的 1000 个评论（共 1,269 个）

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

创建者 ty n

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Mar 19, 2024

Awesome course

创建者 Abdelrahman A

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Feb 3, 2024

Amazing course

创建者 Sourav D

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Oct 19, 2023

awesome course

创建者 Paras

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Oct 7, 2023

Excellent work

创建者 Islam A

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Sep 17, 2023

Amazing course

创建者 Jai S K S C S

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Jun 15, 2023

Well Organized

创建者 Jay p

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Apr 16, 2023

Amazing course

创建者 sagar l

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Feb 26, 2023

Truly the best

创建者 Huajie C

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Feb 9, 2023

very very good

创建者 Ibrahim k F

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Aug 24, 2022

Thanks so much

创建者 Vũ Đ D V Đ D

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Jul 16, 2025

Great course.

创建者 Elvis T

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Mar 31, 2025

Great lecture

创建者 Yutao L

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Feb 7, 2025

V-good course

创建者 Sabeur M

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Dec 20, 2023

Great Courses

创建者 Syed S N

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Nov 2, 2023

Very Helpfull

创建者 mohamed o E

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Aug 1, 2023

thanks a lot