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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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8,311 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.

MA

Jun 21, 2025

The course is well crafted and enriched with deep learning and ensemble tree knowledge. Practice labs add strength to the development of skills. Overall good learning experience under sir Andrew NG.

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1076 - Advanced Learning Algorithms 的 1100 个评论（共 1,242 个）

创建者 Anas I E

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Dec 12, 2023

Great!

创建者 Mohammad S

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Dec 9, 2023

Awsome

创建者 Kimiya K

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Nov 19, 2023

Great!

创建者 PRATHAM W

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Aug 23, 2023

Superb

创建者 Sergei P

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Jul 23, 2023

Great!

创建者 Mohamad K

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Jun 7, 2023

awsome

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 Maria V 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 DAL G

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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