Cloud Computing for Machine Learning and Cognitive Applications

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. 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.

Produk Detail:

  • Author : Kai Hwang
  • Publisher : MIT Press
  • Pages : 624 pages
  • ISBN : 0262341123
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKCloud Computing for Machine Learning and Cognitive Applications

Cloud Computing for Machine Learning and Cognitive Applications

Cloud Computing for Machine Learning and Cognitive Applications
  • Author : Kai Hwang
  • Publisher : MIT Press
  • Release : 07 July 2017
GET THIS BOOKCloud Computing for Machine Learning and Cognitive Applications

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. 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

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 17 March 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
  • Author : Krishna Kant Singh,Akansha Singh,Korhan Cengiz,Dac-Nhuong Le
  • Publisher : John Wiley & Sons
  • Release : 08 July 2020
GET THIS BOOKMachine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems
  • Author : Dinesh Peter,Amir H Alavi,Bahman Javadi,Steven L. Fernandes
  • Publisher : Academic Press
  • Release : 14 March 2020
GET THIS BOOKThe Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time

Cognitive Engineering for Next Generation Computing

Cognitive Engineering for Next Generation Computing
  • Author : Kolla Bhanu Prakash,G. R. Kanagachidambaresan,V. Srikanth,E. Vamsidhar
  • Publisher : John Wiley & Sons
  • Release : 19 March 2021
GET THIS BOOKCognitive Engineering for Next Generation Computing

The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing

Cognitive Computing Using Green Technologies

Cognitive Computing Using Green Technologies
  • Author : Asis Kumar Tripathy,Chiranji Lal Chowdhary,Mahasweta Sarkar,Sanjaya Kumar Panda
  • Publisher : CRC Press
  • Release : 12 March 2021
GET THIS BOOKCognitive Computing Using Green Technologies

Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers

Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics
  • Author : Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
  • Publisher : John Wiley & Sons
  • Release : 08 April 2015
GET THIS BOOKCognitive Computing and Big Data Analytics

A comprehensive guide to learning technologies that unlock thevalue in big data Cognitive Computing provides detailed guidance towardbuilding a new class of systems that learn from experience andderive insights to unlock the value of big data. This book helpstechnologists understand cognitive computing's underlyingtechnologies, from knowledge representation techniques and naturallanguage processing algorithms to dynamic learning approaches basedon accumulated evidence, rather than reprogramming. Detailed caseexamples from the financial, healthcare, and manufacturing walkreaders step-by-step through the design and testing of cognitivesystems, and expert

Cognitive Computing with IBM Watson

Cognitive Computing with IBM Watson
  • Author : Rob High,Tanmay Bakshi
  • Publisher : Packt Publishing Ltd
  • Release : 30 April 2019
GET THIS BOOKCognitive Computing with IBM Watson

Understand, design, and create cognitive applications using Watson’s suite of APIs. Key Features Develop your skills and work with IBM Watson APIs to build efficient and powerful cognitive apps Learn how to build smart apps to carry out different sets of activities using real-world use cases Get well versed with the best practices of IBM Watson and implement them in your daily work Book Description Cognitive computing is rapidly infusing every aspect of our lives riding on three important

Machine Learning for Decision Makers

Machine Learning for Decision Makers
  • Author : Patanjali Kashyap
  • Publisher : Apress
  • Release : 04 January 2018
GET THIS BOOKMachine Learning for Decision Makers

Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This

Next-Generation Wireless Networks Meet Advanced Machine Learning Applications

Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
  • Author : Com?a, Ioan-Sorin,Trestian, Ramona
  • Publisher : IGI Global
  • Release : 25 January 2019
GET THIS BOOKNext-Generation Wireless Networks Meet Advanced Machine Learning Applications

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 14 August 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)
  • Author : Zhong Li,Chunrong Yuan,Jie Lu,Etienne E Kerre
  • Publisher : World Scientific
  • Release : 04 August 2020
GET THIS BOOKDevelopments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.

Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society

Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 27 November 2020
GET THIS BOOKResearch Anthology on Developing and Optimizing 5G Networks and the Impact on Society

As technology advances, the emergence of 5G has become an essential discussion moving forward as its applications and benefits are expected to enhance many areas of life. The introduction of 5G technology to society will improve communication speed, the efficiency of information transfer, and end-user experience to name only a few of many future improvements. These new opportunities offered by 5G networks will spread across industry, government, business, and personal user experiences leading to widespread innovation and technological advancement. What

International Taxation of Cloud Computing

International Taxation of Cloud Computing
  • Author : Alexander Weisser
  • Publisher : Éditions juridiques libres / Freier juristischer Verlag
  • Release : 07 October 2020
GET THIS BOOKInternational Taxation of Cloud Computing

Cloud computing may be borderless, but taxes are territorial. It is easy to imagine how the two concepts can clash. Much effort has gone into harmonizing tax rules across borders with the result that many jurisdictions have very similar tax rules. Even so, taxation remains a basic expression of national sovereignty. The goal of this thesis is to examine how international tax law applies to the cross-border cloud computing business. Both, multinational providers and customers of cloud computing services are

AI 2020

AI 2020
  • Author : Marcus Gallagher,Nour Moustafa,Erandi Lakshika
  • Publisher : Springer Nature
  • Release : 19 October 2021
GET THIS BOOKAI 2020

This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.* The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning. *The conference was held virtually due to the COVID-19 pandemic.