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

4.9
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8,631 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

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.

MN

Jul 29, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

筛选依据：

1026 - Advanced Learning Algorithms 的 1050 个评论（共 1,295 个）

创建者 Majd A

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May 22, 2025

great course

创建者 Sbitnev M

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Nov 7, 2024

Best courses

创建者 Ennouamane K

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Oct 1, 2024

Great course

创建者 Harirajan M

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Sep 17, 2024

great course

创建者 Harsh W

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Aug 3, 2024

Great course

创建者 john r

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Jan 25, 2024

great course

创建者 Teboho T

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Jul 29, 2023

Great course

创建者 Eren U

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Jul 2, 2023

Great course

创建者 Aisha A

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May 30, 2023

Great course

创建者 Hema A

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Aug 1, 2022

Great course

创建者 VARUN C

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Jan 3, 2026

Exceptional

创建者 Chhitanshu S

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Dec 11, 2025

nice course

创建者 Mohsin A

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Nov 18, 2025

best course

创建者 Jose V

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Nov 16, 2025

Awesome.!!!

创建者 Om V

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Nov 3, 2025

BEST COURSE

创建者 Aadvik C

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Jun 18, 2025

Loved it !!

创建者 Khedimi m n

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Apr 1, 2025

amazing job

创建者 Hamza S

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Nov 4, 2024

Good course

创建者 Asad H

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Jul 17, 2024

Good Course

创建者 Rounak K G

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Jun 14, 2024

Really good

创建者 Alexander S C C

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Apr 11, 2024

Interesante

创建者 Deepak S m

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Dec 15, 2023

was amazing

创建者 Youssef H

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Oct 12, 2023

Very Useful

创建者 Nihaz N

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Oct 11, 2023

Insightful!

创建者 Muhammad T H

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Sep 25, 2023

Excellent!!