Text Book 교재용원서 (756)
컴퓨터공학 (789)
컴퓨터 일반도서 (519)
전기,전자공학 (699)
생명과학 (236)
기계공학 (191)
물리학 (438)
지구과학 (75)
에너지공학 (66)
재료공학 (37)
의용공학 (39)
천문학 (39)
수학 (104)
통계학 (45)
경영학 (40)
산업공학 (14)
사회복지학 (6)
심리학 (249)
기타 (71)
특가할인도서 (0)
화학 (2)
교육학 (1)
PACKT (300)

> > 컴퓨터공학 > 분산시스템

이미지를 클릭하시면 큰 이미지를 보실 수 있습니다.
Cloud Computing for Machine Learning and Cognitive Applications (8월 수입예정)
출판사 : MIT Press
저 자 : Hwang
ISBN : 9780262036412
발행일 : 2017-06
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 624
판매가격 : 49,000원
판매여부 : 재고확인요망
주문수량 : [+]수량을 1개 늘입니다 [-]수량을 1개 줄입니다

My Wish List 에 저장하기
   Cloud Computing for Machine Learning and Cognitive Applications (8월 수입예정) 목차
.
   도서 상세설명   

This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data.

This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science.

Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google’s Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

  교육용 보조자료   
작성된 교육용 보조자료가 없습니다.