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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!

Security Fundamentals

Security Fundamentals

Author: Crystal Panek Format: Paperback / softback Release Date: 10/01/2020

Security is undeniably one of the most important components to each and every company's network. IT Professionals who are new to the industry need a strong foundational understanding of the fundamentals before moving on towards more challenging technology certifications. This book covers everything you need to know about understanding security layers, authentication, authorization, and accounting, security policies, and protecting your server and client. Written to the Security Fundamentals MTA Certification, it is a recommended entry point into IT certification. This book covers the basics of security. Each chapter closes with a quiz to make sure you can practice exam questions and test your knowledge before moving to the next section. We start by discussing security layers. There are sections dedicated to the following: Understanding security layers, by recognizing core security principles including threat and impact principles, and threat modeling. We also will understand physical security, internet security, and wireless security. Understanding network security, by learning the different types of hardware firewalls and their characteristics. Also understanding network isolation and protocol security. IT Professionals looking to understand more about networking will gain the knowledge to effectively secure a client and server as well as explain basic security concepts without any problems. Thanks to some troubleshooting tools and tops it will be easier to apply the skills in real world situations and feel confident when taking the certification.

Time Series Forecasting An Applied Machine Learning Approach

Time Series Forecasting An Applied Machine Learning Approach

Author: Francesca Lazzeri Format: Paperback / softback Release Date: 31/12/2019

Learn how to build and operationalize machine learning forecast models for your everyday projects. With this practical book, experienced and novice data scientists, business analysts, and AI developers will learn the steps necessary for building, training, and deploying time series forecasting models for their organizations. Time series data is an invaluable source of information used for future strategy and planning operations in several industries. From finance to education and health care, time series forecasting plays a major role in unlocking business insights with respect to time. During the past few decades, machine learning model-based forecasting has become popular in both the private and the public decision-making process.

Introduction to Stochastic Processes and Simulation

Introduction to Stochastic Processes and Simulation

Author: Cochard Format: Hardback Release Date: 31/12/2019

BPF Performance Tools, 1/e

BPF Performance Tools, 1/e

Author: Brendan Gregg Format: Paperback / softback Release Date: 28/12/2019

BPF and related observability tools give software professionals and students alike unprecedented visibility into software, helping them analyze operating system and application performance, troubleshoot code, and strengthen security. BPF Performance Tools: Linux System and Application Observability is the industry's most comprehensive guide to using these tools for observability. Brendan Gregg, author of the industry's definitive guide to system performance, introduces powerful new methods and tools for doing analysis that leads to more robust, reliable, and safer code. This authoritative guide: Explores a wide spectrum of software and hardware targets Thoroughly covers open source BPF tools from the Linux Foundation iovisor project's bcc and bpftrace repositories Summarizes performance engineering and kernel internals you need to understand Provides and discusses 150+ bpftrace tools, including 80 written specifically for this book: tools you can run as-is, without programming - or customize and develop further, using diverse interfaces and the bpftrace front-end Students will learn how to use BPF (eBPF) tracing tools to analyze CPUs, memory, disks, file systems, networking, languages, applications, containers, hypervisors, security, and the Linux kernel. Students will move from basic to advanced tools and techniques, producing new metrics, stack traces, custom latency histograms, and more. It's like having a superpower: with Gregg's guidance and tools, students can analyze virtually everything that impacts system performance, so they can improve virtually any Linux operating system or application. Deeper, more in-depth coverage than any other eBPF resource Quickly analyze everything that impacts Linux system performance: ask questions and get fast answers in production environments Learn by example, with tools you can use to find performance wins and then customize for even more power Covers invaluable, in-demand technology: eBPF was the subject of over two dozen talks at the recent Linux Plumbers developer's conference Downloadable source code includes 80+ new BPF analysis tools created for this book Use BPF/eBPF tracing and observability tools to improve system performance, reduce costs, resolve software issues, and gain unprecedented visibility into running systems Deeper, more in-depth coverage than any other eBPF resource Quickly analyze everything that impacts Linux system performance: ask questions and get fast answers in production environments Learn by example, with tools you can use to find performance wins and then customize for even more power Covers invaluable, in-demand technology: eBPF was the subject of over two dozen talks at the recent Linux Plumbers developer's conference Downloadable source code includes 80+ new BPF analysis tools created for this book BPF and related observability tools give software professionals unprecedented visibility into software, helping them analyze operating system and application performance, troubleshoot code, and strengthen security. BPF Performance Tools: Linux System and Application Observability is the industry's most comprehensive guide to using these tools for observability. Brendan Gregg, author of the industry's definitive guide to system performance, introduces powerful new methods and tools for doing analysis that leads to more robust, reliable, and safer code. This authoritative guide: Explores a wide spectrum of software and hardware targets Thoroughly covers open source BPF tools from the Linux Foundation iovisor project's bcc and bpftrace repositories Summarizes performance engineering and kernel internals you need to understand Provides and discusses 150+ bpftrace tools, including 80 written specifically for this book: tools you can run as-is, without programming - or customize and develop further, using diverse interfaces and the bpftrace front-end You'll learn how to use BPF (eBPF) tracing tools to analyze CPUs, memory, disks, file systems, networking, languages, applications, containers, hypervisors, security, and the Linux kernel. You'll move from basic to advanced tools and techniques, producing new metrics, stack traces, custom latency histograms, and more. It's like having a superpower: with Gregg's guidance and tools, you can analyze virtually everything that impacts system performance, so you can improve virtually any Linux operating system or application.

Oracle Cloud Infrastructure Architect Associate All-in-One Exam Guide (Exam 1Z0-932)

Oracle Cloud Infrastructure Architect Associate All-in-One Exam Guide (Exam 1Z0-932)

Author: Roopesh Ramklass Format: Paperback / softback Release Date: 27/12/2019

Pass the new Oracle Cloud Infrastructure Architect Associate exam with ease Take the brand-new Oracle Cloud Infrastructure Architect Associate exam with confidence using the detailed information contained in this highly effective self-study system. You will get step-by-step exercises, 140 accurate practice questions, and end-of-chapter reviews. All practice questions match those on the live test in content, tone, and format. Written by an Oracle expert and supported by the Oracle certification development team, Oracle Cloud Infrastructure Architect Associate All-in-One Exam Guide (Exam 1Z0-932) features learning objectives and in-depth explanations. Notes, Tips, and Cautions throughout provide professional insight and call out potentially harmful situations. Beyond exam preparation, this Oracle Press guide also serves as a valuable on-the-job reference. *Contains complete coverage of every subject on exam 1Z0-932*Written by an expert technologist and certification author *Electronic content includes 140 practice questions and a fully-customizable online test engine

Angular Statistics

Angular Statistics

Author: A V Dattatreya Rao, S V S Girija Format: Hardback Release Date: 23/12/2019

Directional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of data sets, the data scientists found that existing models as inadequate. As there is paucity of angular models, and to fill the gap, this book is designed at constructing new angular models with the existing techniques and to develop new tools of constructing angular models with an application to control charts in angular models. This book is planned to cover the following topics in nine chapters Wrapped, stereographic and offset circular models Construction of angular models using Rising Sun function, positive definite sequences, discretization and through differential approach Extemporaneous Semicircular / arc and asymmetric l - axial models Choice of angular models as an inferential aspect and construction of control charts for angular data as an application are presented. This graduate level book will be useful for data scientists, researchers and research students of Statistics and allied fields.

Document Processing Using Machine Learning

Document Processing Using Machine Learning

Author: Sk Md Obaidullah Format: Hardback Release Date: 20/12/2019

The book aims at presenting a handful of resources for students and researchers, who are working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with the explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the use of input data: image or simply texts. In brief, the book offers comprehensive coverage of the most essential topics, including: Role of AI for document image analysis Optical character recognition Machine learning algorithms for document analysis Extreme learning machine and its applications (document understanding) Mathematical foundation for Web text document analysis Social media data analysis Modalities for document dataset generation. This book serves to undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Storytelling with Data Let's Practice!

Storytelling with Data Let's Practice!

Author: Cole Nussbaumer Knaflic Format: Paperback / softback Release Date: 18/12/2019

Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become--or teach others to be--a powerful data storyteller. Let's practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data's foundational lessons, Let's practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master--or develop in others--data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!

Artificial Intelligence and Machine Learning for Business for Non-Engineers

Artificial Intelligence and Machine Learning for Business for Non-Engineers

Author: Stephan S. (Ball State University, Muncie, IN, USA) Jones Format: Paperback / softback Release Date: 18/12/2019

The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Lex), and creating infrastructure that has the ability to adapt real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. This book provides a working knowledge of AI's current and future capabilities and the impact it will have on every business.

A Guide for Machine Vision in Quality Control

A Guide for Machine Vision in Quality Control

Author: Sheila Anand, L. Priya Format: Hardback Release Date: 18/12/2019

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner's approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

Parallel Computing Architectures and APIs IoT Big Data Stream Processing

Parallel Computing Architectures and APIs IoT Big Data Stream Processing

Author: Vivek (Corporate IT Strategy Consultant, Thane (West), India) Kale Format: Hardback Release Date: 09/12/2019

This book addresses the challenge of provisioning of parallel hardware and software enabling high-performance parallel processing in the context of requirements dictated by big data systems. It gives description of parallel programming techniques that are necessary for efficient programs for multicore processors and parallel cluster systems.