Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

Gupta, Pramod, Sehgal, Naresh Kumar, Acken, John M.

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud
  • 出版商: Springer
  • 出版日期: 2024-07-13
  • 售價: $2,270
  • 貴賓價: 9.5 折 $2,157
  • 語言: 英文
  • 頁數: 492
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031591690
  • ISBN-13: 9783031591693
  • 相關分類: Python、程式語言、Machine Learning、資訊安全

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.

商品描述(中文翻譯)

本書從概念層面介紹機器學習、安全性和雲端運算，以及它們在基礎設施中的應用。作者強調在動態基礎設施中使用人工智慧和機器學習的基本原則和最佳實踐，幫助讀者選擇並運用適當的技術。重要主題透過實際應用和案例研究進行示範。

作者簡介

Pramod Gupta has more than 20 years of experience as a researcher and academician in various organizations including work with NASA, GE, VISA, and University of California and startups. He has a PhD from McMaster University in Electrical and Computer Engineering with specialization in Neuro-Control of Robotic Manipulators. He has more than 40 publications on these subjects. His research areas include Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics and Data mining. Presently, he is an Adjunct Faculty and working as an independent data science consultant.

Naresh K. Sehgal is a CTO at the Deeply Human AI. Before that he worked at NovaSignal for 3 years and at Intel for 31 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. He also taught a Cloud Computing class at Santa Clara University, where he earned an MBA.

John M. Acken is a research faculty member in the Electrical and Computer Engineering Department, Portland State University, Portland, OR. John received his BS and MS in Electrical Engineering from Oklahoma State University and Ph. D. in Electrical Engineering from Stanford University. His projects include technology and devices for information security and identity authentication. John has worked as an Electrical Engineer and Manager at several companies, including the US Army, Sandia National Labs in Albuquerque, New Mexico and Intel in Santa Clara, CA. John's time in the US Army was in the Army Security Agency, a branch of NSA during the Vietnam War.

作者簡介(中文翻譯)

Pramod Gupta 擁有超過 20 年的研究和學術經驗，曾在多個機構工作，包括 NASA、GE、VISA、加州大學及初創公司。他在麥克馬斯特大學獲得電機與計算機工程博士學位，專攻機器人操控的神經控制。他在這些領域有超過 40 篇出版物。其研究領域包括神經網絡、機器學習、人工智慧、數據建模與分析以及數據挖掘。目前，他是兼任教職，並擔任獨立數據科學顧問。

Naresh K. Sehgal 是 Deeply Human AI 的首席技術官。在此之前，他在 NovaSignal 工作了 3 年，並在英特爾擔任各種工程和管理職位長達 31 年。Naresh 獲得旁遮普工程學院的工學學士學位，並在雪城大學獲得碩士和博士學位。他還在聖克拉拉大學教授雲計算課程，並在該校獲得工商管理碩士學位。

John M. Acken 是俄勒岡州波特蘭州立大學電機與計算機工程系的研究教職成員。John 在俄克拉荷馬州立大學獲得電機工程學士和碩士學位，並在史丹佛大學獲得電機工程博士學位。他的項目包括資訊安全和身份驗證的技術與設備。John 曾在多家公司擔任電機工程師和經理，包括美國陸軍、新墨西哥州阿爾伯克基的桑迪亞國家實驗室以及加州聖克拉拉的英特爾。John 在美國陸軍的服役期間，曾在越戰期間的陸軍安全局工作，該局是國家安全局的分支機構。

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