Machine Learning Algorithms for Industrial Applications
暫譯: 工業應用的機器學習演算法
Das, Santosh Kumar, Das, Shom Prasad, Dey, Nilanjan
- 出版商: Springer
- 出版日期: 2020-07-19
- 售價: $6,700
- 貴賓價: 9.5 折 $6,365
- 語言: 英文
- 頁數: 315
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030506401
- ISBN-13: 9783030506407
-
相關分類:
Machine Learning、Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry.
The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
商品描述(中文翻譯)
本書探討了幾個與工業應用相關的數據分析和預測問題及其解決方案。機器學習是現代產業中的一個重要主題:隨著世界迅速接受大數據和數據分析,其影響可以在日常生活的許多方面感受到。因此,迫切需要新穎且創新的演算法來幫助我們在媒體、醫療保健、旅遊、金融和零售等工業應用領域找到有效的解決方案。在所有這些領域中,數據是關鍵參數,也是釋放產業價值的主要關鍵。
本書介紹了一系列智能演算法,可用於過濾上述應用領域中的有用信息,並有效解決特定問題。其主要目標是提高學生、研究人員和工業從業者對這一重要領域的認識。