Recent Trends in Applied Machine Learning (Big and Integrated Artificial Intelligence) / Tomasiello, Stefania (Edited by)/ El Shawi, Radwa (Edited by)/ Polap, Dawid (Edited by)

応用機械学習の最新トレンド<br>Recent Trends in Applied Machine Learning (Big and Integrated Artificial Intelligence)

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予約

応用機械学習の最新トレンド
Recent Trends in Applied Machine Learning (Big and Integrated Artificial Intelligence)

Tomasiello, Stefania (Edited by)/ El Shawi, Radwa (Edited by)/ Polap, Dawid (Edited by)

ウェブストア価格 ¥45,920（本体¥41,746）
Springer, Berlin; Springer（2026/12/27発売）
外貨定価 EUR 171.19
ポイント 417pt

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製本 Hardcover:ハードカバー版／ページ数 216 p.／サイズ 235mmx155mmx-
言語 ENG
商品コード 9783032366276

基本説明

This book wants to be a valuable tool for researchers and practitioners working on machine learning to gather ideas about applications, as scientific literature does not offer mostly. It provides the readers with a comprehensive insight to understand an in-depth big picture of the most recent techniques applied to real-world problems. Different application areas, such as agriculture, industry, health, social sciences, and security, have been considered. It is suitable for senior undergraduate students, graduate students who are interested in research in multidisciplinary areas, and the researchers working in the related areas.

Full Description

This book wants to be a valuable tool for researchers and practitioners working on machine learning to gather ideas about applications, as scientific literature does not offer mostly. It provides the readers with a comprehensive insight to understand an in-depth big picture of the most recent techniques applied to real-world problems. Different application areas, such as agriculture, industry, health, social sciences, and security, have been considered.
It is suitable for senior undergraduate students, graduate students who are interested in research in multidisciplinary areas, and the researchers working in the related areas. This book is also used as a reference book for related courses in computer science, to offer ideas on practical applications. It can also be suitable for audience out of academia to obtain a general insight of applied machine learning.