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Computer science

See below for a selection of the latest books from Computer science category. Presented with a red border are the Computer science books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Computer science books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

Machine Learning in the AWS Cloud Add Intelligence to Applications with AWS SageMaker and AWS Rekognition

Machine Learning in the AWS Cloud Add Intelligence to Applications with AWS SageMaker and AWS Rekognition

Author: Abhishek Mishra Format: Paperback / softback Release Date: 05/11/2019

Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services. Part One introduces readers to fundamental machine learning concepts. You will learn about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services provided by Amazon Web Services. You'll be introduced to the basics of cloud computing and AWS offerings in the cloud-based machine learning space. Then you'll learn to use Amazon Machine Learning to solve a simpler class of machine learning problems, and Amazon SageMaker to solve more complex problems. - Learn techniques that allow you to preprocess data, basic feature engineering, visualizing data, and model building - Discover common neural network frameworks with Amazon SageMaker - Solve computer vision problems with Amazon Rekognition - Benefit from illustrations, source code examples, and sidebars in each chapter The book appeals to both Python developers and technical/solution architects. Developers will find concrete examples that show them how to perform common ML tasks with Python on AWS. Technical/solution architects will find useful information on the machine learning capabilities of the AWS ecosystem.

Machine Learning for Natural Hazards

Machine Learning for Natural Hazards

Unexpected and extreme natural hazards resulting from the Earth's natural processes can be harmful to humans. As a result, powerful approaches have been developed to apply advanced machine learning and big data methods for extracting relevant patterns, high performance computing, and data visualization to the field of natural hazards. Machine Learning for Natural Hazards shares recent advances in the field, with emphasis on issues addressed by advanced machine learning and big data analytic techniques. This book aims to provide practitioners with efficient and effective tools to deal with natural hazard related data. Relevant, illustrative, study cases are also presented and discussed.

Essentials of Business Processes and Information Systems

Essentials of Business Processes and Information Systems

Author: Simha R. Magal, Jeffrey Word Format: Paperback / softback Release Date: 22/10/2019

Data Driven Approaches for Healthcare Machine learning for Identifying High Utilizers

Data Driven Approaches for Healthcare Machine learning for Identifying High Utilizers

Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem. Key Features: Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers Presents descriptive data driven methods for the high utilizer population Identifies a best-fitting linear and tree-based regression model to account for patients' acute and chronic condition loads and demographic characteristics

The Probability Companion for Engineering and Computer Science

The Probability Companion for Engineering and Computer Science

Author: Adam (University of Southampton) Prugel-Bennett Format: Paperback / softback Release Date: 30/09/2019

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.

Investigating Data Hiding and Covert Communication

Investigating Data Hiding and Covert Communication

Author: Format: Paperback / softback Release Date: 30/09/2019

The book will focus on incident response methods and techniques when faced with the unprecedented challenge that data hiding and covert communication pose. All three states of data hiding and covert communication will be considered. When data is at rest (Desktop and Mobile Devices) When data is in motion (overtly and covertly communicated) When data is in use (on any computing platform) This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the book will include open source examples and tools that will aid investigators and incident response personnel in dealing with this threat. Investigating Data Hiding and Covert Communications will be the first book to directly focus on one of the most daunting challenges that investigators and incident respond personnel face today.

The Probability Companion for Engineering and Computer Science

The Probability Companion for Engineering and Computer Science

Author: Adam (University of Southampton) Prugel-Bennett Format: Hardback Release Date: 30/09/2019

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.

Fundamentals of Computers

Fundamentals of Computers

Author: Reema (Shyama Prasad Mukherji College for Women, University of Delhi) Thareja Format: Paperback / softback Release Date: 12/09/2019

Fundamentals of Computers has been specifically designed for anybody and everybody who wants to be familiar with basic concepts of computers. It is an ideal text for self-learning basic computer concepts (such as organization, architecture, input and output devices, primary and secondary memory) as well as advanced topics (such as operating systems, computer networks, and databases). The book also provides step-by-step tutorials to learn different MS Office applications such as Word, PowerPoint, and Excel. The book can be useful for a broad spectrum of students, varying from non-computers background students enrolled in elementary courses on Information Technology and Computer Sciences to students enrolled in professional courses such as BCA and MCA.

Digital Twin Technologies and Smart Cities

Digital Twin Technologies and Smart Cities

Author: Maryam Farsi Format: Hardback Release Date: 31/08/2019

This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to: data visualisation, real-time data analytics, and learning leading to improved confidence in decision making; reasoning, monitoring and warning to support accurate diagnostics and prognostics; acting using edge control and what-if analysis; and connection with back-end business applications hold significant potential for applications in smart cities, by employing a wide range of sensory and data-acquisition systems in various parts of the urban infrastructure. The contributing authors reveal how and why DT technologies that are used for monitoring, visualising, diagnosing and predicting in real-time are vital to cities' sustainability and efficiency. The concepts outlined in the book represents a city together with all of its infrastructure elements, which communicate with each other in a complex manner. Moreover, securing Internet of Things (IoT) which is one of the key enablers of DT's is discussed in details and from various perspectives. The book offers an outstanding reference guide for practitioners and researchers in manufacturing, operations research and communications, who are considering digitising some of their assets and related services. It is also a valuable asset for graduate students and academics who are looking to identify research gaps and develop their own proposals for further research.

Strengthening Deep Neural Networks

Strengthening Deep Neural Networks

Author: Katy Warr Format: Paperback / softback Release Date: 31/08/2019

Deep neural networks (DNNs) are becoming more common in real-world applications, but the potential to fool them presents a new security loophole in software development. In this book, author Katy Warr examines several scenarios in which DNNs could be exploited in our daily lives. You'll learn about motivation attackers have for exploiting DNN technology and the risks your company faces if they succeed. Through practical code examples, this book shows you how DNNs are created and demonstrates the ways they can be hardened against exploitation. Learn where DNNs have potential for adoption and where they're currently being applied Understand how the technology can be improved to make DNNs more resilient to trickery Peer into the future of DNNs to learn how the technology as a whole may evolve

Fortran 2018 with Parallel Programming

Fortran 2018 with Parallel Programming

Author: Subrata Ray Format: Hardback Release Date: 30/08/2019

The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler. During the past 60 years, the language had been revised and updated several times to incorporate more features to enable writing clean and structured computer programs. The present version is Fortran 2018. Since the dawn of the computer era, there had been a constant demand for a larger and faster machine. To increase the speed there are three hurdles. The density of the active components on a VLSI chip cannot be increased indefinitely and with the increase of the density heat dissipation becomes a major problem. Finally, the speed of any signal cannot exceed the velocity of the light. However, by using several inexpensive processors in parallel coupled with specialized software and hardware, programmers can achieve computing speed similar to a supercomputer. This book can be used to learn the modern Fortran from the beginning and the technique of developing parallel programs using Fortran. It is for anyone who wants to learn Fortran. Knowledge beyond high school mathematics is not required. There is not another book on the market yet which deals with Fortran 2018 as well as parallel programming. FEATURES Descriptions of majority of Fortran 2018 instructions Numerical Model String with Variable Length IEEE Arithmetic and Exceptions Dynamic Memory Management Pointers Bit handling C-Fortran Interoperability Object Oriented Programming Parallel Programming using Coarray Parallel Programming using OpenMP Parallel Programming using Message Passing Interface (MPI) THE AUTHOR Dr Subrata Ray, is a retired Professor, Indian Association for the Cultivation of Science, Kolkata.