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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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1051 - Advanced Learning Algorithms 的 1075 个评论（共 1,243 个）

创建者 Prachet P

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Sep 21, 2024

Worthy!!

创建者 Nathan G

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Aug 20, 2024

amazing!

创建者 Ashwin V

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Jun 27, 2024

Worth it

创建者 João V

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May 2, 2024

THE GOAT

创建者 khashayar m

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Jan 20, 2024

gooooood

创建者 Nadhem B

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Oct 20, 2023

nicee !!

创建者 21AI&ML002 K K

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May 12, 2023

amazing!

创建者 Ramkumar

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Aug 19, 2022

the best

创建者 Hassan M

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Jul 4, 2025

parfait

创建者 milan 0

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Feb 24, 2025

perfect

创建者 Deni K

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Oct 11, 2024

amazing

创建者 Hesam A

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Jul 8, 2024

perfect

创建者 eslam s

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May 5, 2024

perfect

创建者 Josep D S

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Apr 15, 2024

awesome

创建者 Muhammad K I

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Apr 15, 2024

awesome

创建者 Quang D N

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Mar 19, 2024

Perfect

创建者 Paulo T

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Nov 28, 2023

great !

创建者 Ali M

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Nov 13, 2023

amazing

创建者 Oswaldo F D

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Nov 5, 2023

Amazing

创建者 Rahul K

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Sep 15, 2023

amazing

创建者 Iman I

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Jul 27, 2023

awesome

创建者 Erfan G

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Jun 15, 2023

perfect

创建者 davidwangca

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Feb 19, 2023

Super!!

创建者 Shahab S

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Jun 21, 2025

Great!

创建者 محمود ف

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Mar 24, 2025

awsome