Learning From Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

☆☆☆☆☆
簡體網頁||繁體網頁

Yaser S. Abu-Mostafa 作者

AMLBook

譯者

2012-3-27 出版日期

213 頁數

USD 48.00 價格

Hardcover

叢書系列

9781600490064 圖書編碼

Learning From Data 在線電子書圖書標籤: 機器學習 MachineLearning 數據挖掘數據分析人工智能計算機 DataMining 計算機科學

喜歡 Learning From Data 在線電子書的讀者還喜歡

下載鏈接在頁面底部

點擊這裡下載

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製鏈接

想要找書就要到圖書目錄大全

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

發表於2024-11-25

Learning From Data 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Learning From Data 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Learning From Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Learning From Data 在線電子書用戶評價

評分☆☆☆☆☆

這本書有公開課，在B站可以搜的到關鍵字 “機器學習加利福尼亞理工” 不過這門課網易也有帶中文字幕版本的，隻不過不是很全。這門課是我上過的最好的機器學習課程，原因是老師就是這本書的作者，講這些基礎的機器學習概念深入淺齣。而且這門課原本就是麵嚮網絡授課的，沒有瞭直接在課堂上錄像的那種公開課的蛋疼。相比於 NG 那門算法一籮筐的課，這門課著重點在於機器學習的靈魂，給你構造一個 soild 的知識體係，今後無論用到什麼算法，都可以用這一套方法去分析和設計。這是所有其他機器學習課程所不能做到的。後麵跟一本ESL或者PRML，統計機器學習可以解決瞭。

評分☆☆☆☆☆

一些麵試的同學，上來就長篇大論各種算法，特彆適閤這本書。1.為什麼學習有效；2.VC bound&bias var tradeoff；3.overfitting&regularization；4.cross validation；至少要完全懂這四個……

評分☆☆☆☆☆

林軒田的機器學習, 可怕的時間殺手, 第一遍永遠雲裏霧裏

評分☆☆☆☆☆

http://www.youtube.com/watch?v=mbyG85GZ0PI&list=PLD63A284B7615313A $28 Learning Theory in plain English reread in 8 hours

評分☆☆☆☆☆

Learning From Data 在線電子書著者簡介

Learning From Data 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Learning From Data 在線電子書圖書描述

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

Learning From Data 在線電子書下載 mobi epub pdf txt 在線電子書下載

想要找書就要到圖書目錄大全

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!