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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.

筛选依据：

1026 - Advanced Learning Algorithms 的 1050 个评论（共 1,242 个）

创建者 Hilal P

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Aug 3, 2025

excellent

创建者 Khaled Z

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Apr 5, 2025

wonderful

创建者 Sayyed H H

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Mar 29, 2025

Very Good

创建者 PASHAM N

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Mar 9, 2025

Excellent

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Dec 8, 2024

bhery gud

创建者 Mohamed A

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Jul 30, 2024

Excellent

创建者 UTTAM

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Jun 25, 2024

Excellent

创建者 Đức M

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Jun 12, 2024

nice joke

创建者 Dhiranjit

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Feb 21, 2024

Excellent

创建者 Nguyen M K ( H

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Oct 25, 2023

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•

Oct 18, 2023

excellent

创建者 Andrew

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Jul 31, 2023

excellent

创建者 슈쿠룰로/학생/융합시스템공학

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Jul 15, 2023

excellent

创建者 Aman J

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Jul 8, 2023

excellent

创建者 SUBRATA M

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Jul 6, 2023

very good

创建者 Prithwijit G

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Jun 14, 2023

Excellent

创建者 Chidiebere S M

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May 6, 2023

Excellent

创建者 Mahbub T

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Apr 4, 2023

Fantastic

创建者 partheniac

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Feb 26, 2023

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创建者 zhixiang l

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Jul 15, 2022

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创建者 Trang Q K

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Jul 14, 2022

Wonderful

创建者 Emi L

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Jul 5, 2022

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创建者 varun b

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May 16, 2025

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创建者 Suhas Y P

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Mar 2, 2025

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创建者 Prachet P

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Sep 21, 2024

Worthy!!