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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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8,595 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.

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1151 - Advanced Learning Algorithms 的 1175 个评论（共 1,288 个）

创建者 Khoa T

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Jan 19, 2025

good

创建者 Arjun y

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Dec 17, 2024

NICE

创建者 Rain L

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Nov 13, 2024

Good

创建者 Happiness H

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Oct 21, 2024

good

创建者 Muhammad A X

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Oct 14, 2024

cool

创建者 mahdi t

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Sep 26, 2024

best

创建者 Priyanshu K

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Sep 10, 2024

good

创建者 HANIUM M J (

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Aug 20, 2024

best

创建者 RATHOD Y A

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Aug 4, 2024

nice

创建者 Jeevotthama S K .

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Jul 29, 2024

BEST

创建者 Dinesh M

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Jul 28, 2024

Good

创建者 Ahmed N

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Nov 16, 2023

Good

创建者 the o s

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Nov 11, 2023

nice

创建者 Dini P U

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Oct 14, 2023

good

创建者 Rizki A

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Oct 12, 2023

good

创建者 Trisno P R

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Oct 8, 2023

Joss

创建者 Haveela D

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Sep 19, 2023

good

创建者 Chonchal K

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Sep 14, 2023

good

创建者 Angger M R

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Apr 5, 2023

good

创建者 Fitrah S

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Mar 22, 2023

cool

创建者 Ande R

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Feb 17, 2023

Good

创建者 Lovish C

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Feb 4, 2023

nice

创建者 Marlon S V L

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Jan 15, 2023

Good

创建者 do v

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Mar 1, 2025

Ok

创建者 Lee_Infinitee

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Feb 2, 2025

:)