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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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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

MP

Nov 4, 2025

One of the best course for Learning Neural Network Fundamentals also dive into the advance algorithm like Decision trees,Random forest or XGB Algorithm. Thanks Andrew Ng for the top-notch course.

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.

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1101 - Advanced Learning Algorithms 的 1125 个评论（共 1,290 个）

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 Hassen 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

创建者 Kamil S

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Mar 24, 2025

Super!

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!