購物比價找書網找車網
FindBook  
 有 1 項符合

Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics

的圖書
Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics

作者:Little 
出版社:Oxford University Press, USA
出版日期:2024-05-28
語言:英文   規格:平裝 / 384頁 / 普通級/ 初版
圖書選購
型式價格供應商所屬目錄
 
$ 2700
博客來 博客來
訊息與訊號處理
圖書介紹 - 資料來源:博客來   評分:
圖書名稱:Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics

內容簡介

This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.

Digital signal processing (DSP) is one of the ’foundational’ engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference.

DSP and statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of key topics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts and algorithms in this important topic.

 

作者簡介

Max A. Little, Professor of Mathematics, Aston University, Aston University, Birmingham

Max A. Little is Professor of Mathematics at Aston University, UK, and a world-leading expert in signal processing and machine learning. His research in machine learning for digital health is highly influential and is the basis of advances in basic and applied research into quantifying neurological disorders such as Parkinson disease. He has published over 60 articles in the scientific literature on the topic, two patents, and a textbook. He is an advisor to government and leading international corporations in topics such as machine learning for health.

 

詳細資料

  • ISBN:9780198896555
  • 規格:平裝 / 384頁 / 普通級 / 初版
  • 出版地:美國
贊助商廣告
 
金石堂 - 今日66折
個人與群體事件的本質有聲書第2輯
66折: $ 581 
金石堂 - 今日66折
召喚!成長的魔法
作者:學習樹研究發展總部
出版社:五南圖書出版股份有限公司
出版日期:2017-04-25
66折: $ 165 
金石堂 - 今日66折
學習樹系列套書:三、四年級(生物的小小樂園)
作者:學習樹研究發展總部
出版社:五南圖書出版股份有限公司
出版日期:2019-04-28
66折: $ 462 
 
Taaze 讀冊生活 - 暢銷排行榜
手寫韓語單字記憶法:基礎800寫字帖,一筆一劃邊寫邊背,自然而然就記起來!(附QRCode雲端音檔)
作者:郭修蓉
出版社:晨星
出版日期:2024-09-01
$ 236 
金石堂 - 暢銷排行榜
相原和嘉島的戀愛喜劇或許會成真 (首刷限定版) 01
作者:キシモト
出版社:東立出版社
出版日期:2025-02-19
$ 200 
Taaze 讀冊生活 - 暢銷排行榜
氣質系硬筆1000字帖
作者:郭仕鵬
出版社:朱雀文化事業有限公司
出版日期:2018-07-03
$ 221 
Taaze 讀冊生活 - 暢銷排行榜
別對每件事都有反應【2025限量暢銷特典版】:淡泊一點也無妨,活出快意人生的99個禪練習!
作者:枡野俊明
出版社:悅知文化
出版日期:2024-12-18
$ 260 
 
金石堂 - 新書排行榜
孔雀王 愛藏版 (首刷限定版) 04
作者:荻野真
出版社:東立出版社
出版日期:2025-03-31
$ 285 
Taaze 讀冊生活 - 新書排行榜
學.問:聆聽李敖的睿智人生課
作者:徐墨
出版社:新華先鋒(滾石移動)
出版日期:2025-02-21
$ 210 
Taaze 讀冊生活 - 新書排行榜
中國小說史略
作者:魯迅
出版社:新華先鋒(滾石移動)
出版日期:2025-02-21
$ 180 
金石堂 - 新書排行榜
看《咒術迴戰》學英文!(全)
作者:北浦尚彦
出版社:東立出版社
出版日期:2025-03-31
$ 276 
 

©2025 FindBook.com.tw -  購物比價  找書網  找車網  服務條款  隱私權政策