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Practical C++ Design: From Programming to Architecture
by Adam B. SingerGo from competent C++ developer to skilled designer or architect using this book as your personal C++ design master class. Updated for the C++20 standard, this title will guide you through the design and implementation of an engaging case study that forms the backdrop for learning the art of applying design patterns and modern C++ techniques to create a high quality, robust application. Starting with a quick exploration of the requirements for building the application, you'll delve into selecting an appropriate architecture, eventually designing and implementing all of the necessary modules to meet the project’s requirements. By the conclusion of Practical C++ Design, you'll have constructed a fully functioning calculator capable of building and executing on any platform that supports both Qt and C++20. Access to the complete source code will help speed your learning. Utilize the Model-View-Controller pattern as the basis for the architecture of the calculator; the observer pattern to design an event system; the singleton pattern as you design the calculator’s central data repository, a reusable stack; the command pattern to design a command system supporting unlimited undo/redo; the abstract factory pattern to build a cross-platform plugin infrastructure for extensibility; coroutines to implement a command line interface with a lazy tokenizer; and more. After reading and using this book, you’ll have begun the transition from C++ programmer to architect. What You Will Learn Read a specification document and translate it into a practical C++ design using some of the latest language features from C++20Understand trade-offs in selecting between alternative design scenariosGain practical experience in applying design patterns to realistic development scenariosLearn how to effectively use language elements of modern C++ to create a lasting designDevelop a complete C++ program from a blank canvas through to a fully functioning, cross platform applicationRead, modify, and extend existing, high quality codeLearn the fundamentals of API design, including class, module, and plugin interfaces Who This Book Is For The experienced C++ developer ready to take the next step to becoming a skilled C++ designer.
Practical C++ Financial Programming
by Carlos OliveiraPractical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You'll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. You'll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you'll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. Covers aspects of C++ especially relevant to financial programming. Provides working solutions to commonly-encountered problems in finance. Delivers in a refreshing and easy style with a strong focus on the practical. What you'll learn Understand the fundamental problem types in the financial market. Design algorithms to solve financial programming problems. Extend C++ through Python extensions and LUA modules. Employ third-party numeric libraries such as those from Boost. Properly engage key C++ features such as templates and exception handling. Benefit from new features in C++14, such as auto variables and closures. Who this book is for Practical C++ Financial Programming is for professionals or advanced students who have interest in learning C++ financial programming, especially in preparation for a professional career. Readers should have a working-knowledge of programming in C, C++, or some other C-like language. The book is also useful to current practitioners at financial institutions as a ready-reference to common development problems and techniques. Table of Contents The Fixed-Income Market The Equities Market C++ Programming Techniques in Finance Common Libraries for Financial Code Designing Numerical Classes Plotting Financial Data Linear Algebra Interpolation Calculating Roots of Equations Numerical Integration Solving Partial Differential Equations Algorithm Optimization Portfolio Optimization Monte Carlo Methods for Equity markets Extending Financial Libraries C++ with R and Octave Multithreading Appendix A: C++14 Features
Practical C++ Programming: Programming Style Guidelines
by Steve OuallineC++ is a powerful, highly flexible, and adaptable programming language that allows software engineers to organize and process information quickly and effectively. But this high-level language is relatively difficult to master, even if you already know the C programming language.The 2nd edition of Practical C++ Programming is a complete introduction to the C++ language for programmers who are learning C++. Reflecting the latest changes to the C++ standard, this 2nd edition takes a useful down-to-earth approach, placing a strong emphasis on how to design clean, elegant code.In short, to-the-point chapters, all aspects of programming are covered including style, software engineering, programming design, object-oriented design, and debugging. It also covers common mistakes and how to find (and avoid) them. End of chapter exercises help you ensure you've mastered the material.Practical C++ Programming thoroughly covers:C++ SyntaxCoding standards and styleCreation and use of object classesTemplatesDebugging and optimizationUse of the C++ preprocessorFile input/outputSteve Oualline's clear, easy-going writing style and hands-on approach to learning make Practical C++ Programming a nearly painless way to master this complex but powerful programming language.
Practical C++ STL Programming: Real-World Applications with C++20 and C++23
by Daniel KusswurmLearn how to use the classes, algorithms, and other programming constructs of C++ STL. This comprehensive and practical guide covers a broad range of STL programming topics and highlights numerous programming constructs from the C++20 and C++23 standards. Mastering use of STL can be daunting for both new and experienced C++ programmers. It doesn’t help that the ISO C++ specification documents are meticulous and verbose. This book is organized to help you quickly understand C++ STL programming, focusing on the real-world aspects of its usage. Rather than spend time providing extensive explanations of the inner workings of STL, author Daniel Kusswurm judiciously explores these intricacies only when they advance the reader’s understanding of a particular topic. This book is accompanied by over 100 source code examples, designed to accelerate learning by emphasizing practical use cases. It coincides with the C++20 and C++23 standards and works with any OS platform that supports these standards including Windows (Visual C++), Linux (GNU C++) and macOS (clang). After reading Practical C++ STL Programming, you’ll be able to exploit the computational capabilities of STL to implement a wide variety of software algorithms and solve unique programming challenges. What You Will Learn Explore STL capabilities, including how to generate formatted output, utilize sequence containers, apply utility classes, exploit smart pointers, manipulate associative containers, and exercise container adaptors. Apply algorithms and iterators to perform a wide variety of container operations including sorts, searches, insertions, removals, and erasures. Utilize ranges and range iterators, adaptors, views, compositions, projections, and factories. Perform file and directory operations using STL’s file system classes. Execute chronological calculations and formatting using the time classes. Employ STL’s random number generation and distribution classes. Implement numerical processing algorithms using STL’s std::valarray and std:complex classes. Accelerate program performance using STL’s concurrency classes and algorithm execution policies. Who This Book Is For Software developers and programmers who understand the basic syntax and semantics of C++ and want/need to learn how to use STL’s classes and algorithms, or programmers who have experience using STL as specified by the C++11/14/17 standards and are interested in learning how to use the new STL classes and algorithms of C++20/23. Computer science/engineering students or hobbyists who want to learn about or better understand the capabilities of STL.
Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics
by Carlos OliveiraApply C++ to programming problems in the financial industry using this hands-on book, updated for C++20. It explains those aspects of the language that are more frequently used in writing financial software, including the Standard Template Library (STL), templates, and various numerical libraries. Practical C++20 Financial Programming also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. What You Will Learn Cover aspects of C++ especially relevant to financial programming Write working solutions to commonly encountered problems in finance Design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries Who This Book Is For Those who are new to programming for financial applications using C++, but should have some previous experience with C++.
Practical Channel-Aware Resource Allocation: With MATLAB and Python Code
by Ahmed Abdelhadi Michael GhorbanzadehThis book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry.
Practical Cloud Native Security with Falco: Risk and Threat Detection for Containers, Kubernetes, and Cloud
by Loris Degioanni Leonardo GrassoAs more and more organizations migrate their applications to the cloud, cloud native computing has become the dominant way to approach software development and execution. Protecting modern, cloud native applications from threats requires the ability to defend them at runtime, when they're most vulnerable to attacks. This practical guide introduces you to Falco, the open source standard for continuous risk and threat detection across Kubernetes, containers, and the cloud. Falco creator Loris Degioanni and core maintainer Leonardo Grasso bring you up to speed on threat detection and show you how to get Falco up and running, plus advanced topics such as deploying Falco in production and writing your own security rules. You'll learn how to: Leverage runtime security in cloud native environmentsDetect configuration changes and unexpected behavior in the cloudProtect containers, Kubernetes, and cloud applications using FalcoRun, deploy, and customize FalcoDeploy, configure, and maintain Falco in a production environmentImprove your compliance
Practical Cloud Security: A Cross-Industry View
by Kevin L. Jackson Melvin B. Greer, Jr.Melvin Greer and Kevin Jackson have assembled a comprehensive guide to industry-specific cybersecurity threats and provide a detailed risk management framework required to mitigate business risk associated with the adoption of cloud computing. This book can serve multiple purposes, not the least of which is documenting the breadth and severity of the challenges that today’s enterprises face, and the breadth of programmatic elements required to address these challenges. This has become a boardroom issue: Executives must not only exploit the potential of information technologies, but manage their potential risks. Key Features • Provides a cross-industry view of contemporary cloud computing security challenges, solutions, and lessons learned • Offers clear guidance for the development and execution of industry-specific cloud computing business and cybersecurity strategies • Provides insight into the interaction and cross-dependencies between industry business models and industry-specific cloud computing security requirements
Practical Cloud Security: A Guide for Secure Design and Deployment
by Chris DotsonWith the fast, competitive evolution of new cloud services, particularly those related to security, cloud deployment is now definitively as secure as on-premises servers, and probably even more secure. This practical book surveys current security challenges and shows security professionals, IT architects, and developers how to meet them while deploying systems to popular cloud services.You’ll find up-to-date, cloud-specific security guidance for popular cloud platforms in the areas of cloud and data asset management, identity and access management, vulnerability management, network security, and incident response. Author Chris Dotson offers practical cloud security best practices for multi-vendor cloud environments whether you’re just starting to design your cloud environment or have legacy projects to secure.
Practical Cloud Security: A Guide for Secure Design and Deployment
by Chris DotsonWith rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. In this updated second edition, you'll examine security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. IBM Distinguished Engineer Chris Dotson shows you how to establish data asset management, identity and access management (IAM), vulnerability management, network security, and incident response in your cloud environment. Learn the latest threats and challenges in the cloud security spaceManage cloud providers that store or process data or deliver administrative controlLearn how standard principles and concepts—such as least privilege and defense in depth—apply in the cloudUnderstand the critical role played by IAM in the cloudUse best tactics for detecting, responding, and recovering from the most common security incidentsManage various types of vulnerabilities, especially those common in multicloud or hybrid cloud architecturesExamine privileged access management in cloud environments
Practical Cloud-Native Java Development with MicroProfile: Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1
by David Chan Eric Herness Emily Jiang Andrew McCright John Alcorn Alasdair NottinghamWritten by leading MicroProfile experts, this book provides you with best practices for building enterprise-grade cloud-native applications using MicroProfile 4.1 and running them on Open Liberty with Docker, Kubernetes, and IstioKey FeaturesApply your knowledge of MicroProfile APIs to develop cloud-native applicationsUse MicroProfile Health to provide the startup, liveness, and readiness status of your enterprise applicationBuild an end-to-end stock trader project and containerize it to deploy to the cloud with Istio interactionBook DescriptionIn this cloud-native era, most applications are deployed in a cloud environment that is public, private, or a combination of both. To ensure that your application performs well in the cloud, you need to build an application that is cloud native. MicroProfile is one of the most popular frameworks for building cloud-native applications, and fits well with Kubernetes. As an open standard technology, MicroProfile helps improve application portability across all of MicroProfile's implementations.Practical Cloud-Native Java Development with MicroProfile is a comprehensive guide that helps you explore the advanced features and use cases of a variety of Jakarta and MicroProfile specifications. You'll start by learning how to develop a real-world stock trader application, and then move on to enhancing the application and adding day-2 operation considerations. You'll gradually advance to packaging and deploying the application. The book demonstrates the complete process of development through to deployment and concludes by showing you how to monitor the application's performance in the cloud.By the end of this book, you will master MicroProfile's latest features and be able to build fast and efficient cloud-native applications.What you will learnUnderstand best practices for applying the 12-Factor methodology while building cloud-native applicationsCreate client-server architecture using MicroProfile Rest Client and JAX-RSConfigure your cloud-native application using MicroProfile ConfigSecure your cloud-native application with MicroProfile JWTBecome well-versed with running your cloud-native applications in Open LibertyGrasp MicroProfile Open Tracing and learn how to use Jaeger to view trace spansDeploy Docker containers to Kubernetes and understand how to use ConfigMap and Secrets from KubernetesWho this book is forThis book is for Java application developers and architects looking to build efficient applications using an open standard framework that performs well in the cloud. DevOps engineers who want to understand how cloud-native applications work will also find this book useful. A basic understanding of Java, Docker, Kubernetes, and cloud is needed to get the most out of this book.
Practical CockroachDB: Building Fault-Tolerant Distributed SQL Databases
by Rob ReidGet a practical introduction to CockroachDB. This book starts with installation and foundational concepts and takes you through to creating clusters that are ready for production environments. You will learn how to create, optimize, and operate CockroarchDB clusters in single and multi-region environments. You will encounter anti-patterns to avoid, as well as testing techniques for integration and load testing. The book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB. Just as quickly, you’ll be creating databases, getting data into those databases, and querying that data from your applications. You’ll progress to data privacy laws such as GDPR and CCPA, and learn how CockroachDB’s global distribution features can help you comply with ever-shifting data sovereignty regulations. From there, you’ll move into deployment topologies, guidance on integration testing and load testing, best practices, and a readiness checklist for production deployments. What You Will LearnDeploy and interact with CockroachDBDesign and optimize databases and tablesChoose the correct data types for modeling your dataProtect data with database and table encryptionAchieve compliance with international data privacy regulationsScale your databases in a way that enhances their performanceMonitor changes to the data and health of your databasesWho This Book Is ForDevelopers and database administrators who want to provide a secure, reliable, and effortlessly distributed home for their data; those who wish to use a modern tool to tackle the kinds of scaling challenges that have previously required dedicated teams of people to solve; anyone who wants to leverage their database to solve non-trivial, real-world challenges while protecting their data and users
Practical Computer Analysis of Switch Mode Power Supplies
by Johnny C. BennettWhen designing switch-mode power supplies (SMPSs), engineers need much more than simple "recipes" for analysis. Such plug-and-go instructions are not at all helpful for simulating larger and more complex circuits and systems. Offering more than merely a "cookbook," Practical Computer Analysis of Switch Mode Power Supplies provides a thorough understanding of the essential requirements for analyzing SMPS performance characteristics. It demonstrates the power of the circuit averaging technique when used with powerful computer circuit simulation programs. The book begins with SMPS fundamentals and the basics of circuit averaging models, reviewing most basic topologies and explaining all of their various modes of operation and control. The author then discusses the general analysis requirements of power supplies and how to develop the general types of SMPS models, demonstrating the use of SPICE for analysis. He examines the basic first-order analyses generally associated with SMPS performance along with more practical and detailed methods for developing SMPS and component models. The final chapter features the circuit-averaging macromodel of the integrated circuit PWM controller illustrated through analyses of three power supplies. Practical Computer Analysis of Switch Mode Power Supplies builds a strong foundation on the principles of SMPS analysis, enabling further development and advancement of the techniques while supplying meaningful insight into the process.
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
by Ahmed Fawzy GadDeploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads.This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applicationsWho This Book Is ForData scientists, machine learning and deep learning engineers, software developers.
Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See
by Kurt Demaagd Anthony Oliver Nathan Oostendorp Katherine ScottLearn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You’ll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.Capture images from several sources, including webcams, smartphones, and KinectFilter image input so your application processes only necessary informationManipulate images by performing basic arithmetic on pixel valuesUse feature detection techniques to focus on interesting parts of an imageWork with several features in a single image, using the NumPy and SciPy Python librariesLearn about optical flow to identify objects that change between two image framesUse SimpleCV’s command line and code editor to run examples and test techniques
Practical Computer Vision: Extract Insightful Information From Images Using Tensorflow, Keras, And Opencv
by Abhinav DadhichComputer Vision is a broadly used term associated with acquiring, processing, and analyzing images. This book will show you how you can perform various Computer Vision techniques in the most practical way possible. Right from capturing images from various sources, you will learn how to perform image filtering/manipulation and detect features in your images. As you go through the chapters, you'll work with increasingly complex algorithms to develop complex Computer Vision applications
Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV
by Abhinav DadhichA practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision Book Description In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset. By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications. What you will learn Learn the basics of image manipulation with OpenCV Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST Understand image transformation and downsampling with practical implementations. Explore neural networks for computer vision and convolutional neural networks using Keras Understand working on deep-learning-based object detection such as Faster- R-CNN, SSD, and more Explore deep-learning-based object tracking in action Understand Visual SLAM techniques such as ORB-SLAMWho this book is for This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.
Practical Concurrent Haskell
by Stefania Loredana Nita Marius MihailescuLearn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.
Practical Contiki-NG: Programming for Wireless Sensor Networks
by Agus KurniawanExplore how to develop and implement wireless server networks (WSN) using Contiki-NG, branded as the operating system for the IoT. The book explains Contiki-NG’s advantages in sensing, communication, and energy optimization and enables you to begin solving problems in automation with WSN.Practical Contiki-NG is a guide to getting started with Contiki-NG programming featuring projects that demonstrate a variety of applications. This book takes a practical and content-driven approach to the latest technologies, including Raspberry Pi, IoT and cloud servers. Readers will go through step-by-step guides and sample scenarios such as sensing, actuating, connectivity, building middleware, and utilizing IoT and cloud-based technologies.If you're looking to go from zero to hero in using Contiki-NG to build Wireless Sensor Network (WSN) applications then this is the book for you. What You’ll LearnPrepare and set up Contiki-NG developmentReview the basics of the Contiki-NG platform to build Wireless Sensor Networks (WSN)Develop your own Contiki-NG programPerform sensing and actuating on the Contiki-NG platformImplement a middleware for Contiki-NG motesBuild a simple IoT program using the Contiki-NG environmentWho This Book Is ForDevelopers, students, researchers and anyone who has an interest in Wireless Sensor Network (WSN).
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
by Md. Rezaul Karim Mohit Sewak Pradeep PujariOne stop guide to implementing award-winning, and cutting-edge CNN architectures Key Features Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques Implement CNN models on image classification, transfer learning, Object Detection, Instance Segmentation, GANs and more Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent attention models Book Description Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available. Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets. What you will learn -From CNN basic building blocks to advanced concepts understand practical areas they can be applied to -Build an image classifier CNN model to understand how different components interact with each other, and then learn how to optimize it -Learn different algorithms that can be applied to Object Detection, and Instance Segmentation - Learn advanced concepts like attention mechanisms for CNN to improve prediction accuracy -Understand transfer learning and implement award-winning CNN architectures like AlexNet, VGG, GoogLeNet, ResNet and more -Understand the working of generative adversarial networks and how it can create new, unseen images Who this book is for This book is for data scientists, machine learning and deep learning practitioners, Cognitive and Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python programming language is expected.
Practical Core Software Security: A Reference Framework
by Anmol Misra Mark S. Merkow James F. RansomeAs long as humans write software, the key to successful software security is making the software development program process more efficient and effective. Although the approach of this textbook includes people, process, and technology approaches to software security, Practical Core Software Security: A Reference Framework stresses the people element of software security, which is still the most important part to manage as software is developed, controlled, and exploited by humans. The text outlines a step-by-step process for software security that is relevant to today’s technical, operational, business, and development environments. It focuses on what humans can do to control and manage a secure software development process using best practices and metrics. Although security issues will always exist, students learn how to maximize an organization’s ability to minimize vulnerabilities in software products before they are released or deployed by building security into the development process. The authors have worked with Fortune 500 companies and have often seen examples of the breakdown of security development lifecycle (SDL) practices. The text takes an experience-based approach to apply components of the best available SDL models in dealing with the problems described above. Software security best practices, an SDL model, and framework are presented in this book. Starting with an overview of the SDL, the text outlines a model for mapping SDL best practices to the software development life cycle (SDLC). It explains how to use this model to build and manage a mature SDL program. Exercises and an in-depth case study aid students in mastering the SDL model. Professionals skilled in secure software development and related tasks are in tremendous demand today. The industry continues to experience exponential demand that should continue to grow for the foreseeable future. This book can benefit professionals as much as students. As they integrate the book’s ideas into their software security practices, their value increases to their organizations, management teams, community, and industry. About the Authors Dr. James Ransome, PhD, CISSP, CISM is a veteran of numerous chief information security officer (CISO), chief security officer (CSO), and chief production security officer (CPSO) roles, as well as an author and co-author of numerous cybersecurity books. Anmol Misra is an accomplished leader, researcher, author, and security expert with over 16 years of experience in technology and cybersecurity. Mark S. Merkow, CISSP, CISM, CSSLP has over 25 years of experience in corporate information security and 17 years in the AppSec space helping to establish and lead application security initiatives to success and sustainment.
Practical Criminal Investigations in Correctional Facilities (ISSN)
by William R. BellAN INSIDE LOOK INTO INVESTIGATING THE MOST VIOLENT SUB-CULTURE IN THE WORLDOnce an offender is behind bars, many people believe that he is no longer a threat to society. However, the felonious activities of confined inmates reach out into society every day. These inmates run lucrative drug operations, commit fraud, hire contract murders, an
Practical Cryptography in Python: Learning Correct Cryptography by Example
by Seth James Nielson Christopher K. MonsonDevelop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the lifeblood of the digital world’s security infrastructure. From governments around the world to the average consumer, most communications are protected in some form or another by cryptography. These days, even Google searches are encrypted. Despite its ubiquity, cryptography is easy to misconfigure, misuse, and misunderstand.Developers building cryptographic operations into their applications are not typically experts in the subject, and may not fully grasp the implication of different algorithms, modes, and other parameters. The concepts in this book are largely taught by example, including incorrect uses of cryptography and how "bad" cryptography can be broken. By digging into the guts of cryptography, you can experience what works, what doesn't, and why. What You’ll LearnUnderstand where cryptography is used, why, and how it gets misusedKnow what secure hashing is used for and its basic propertiesGet up to speed on algorithms and modes for block ciphers such as AES, and see how bad configurations breakUse message integrity and/or digital signatures to protect messagesUtilize modern symmetric ciphers such as AES-GCM and CHACHAPractice the basics of public key cryptography, including ECDSA signaturesDiscover how RSA encryption can be broken if insecure padding is usedEmploy TLS connections for secure communicationsFind out how certificates work and modern improvements such as certificate pinning and certificate transparency (CT) logs Who This Book Is For IT administrators and software developers familiar with Python. Although readers may have some knowledge of cryptography, the book assumes that the reader is starting from scratch.
Practical Cryptography: Algorithms and Implementations Using C++
by Saiful Azad Al-Sakib Khan PathanCryptography, the science of encoding and decoding information, allows people to do online banking, online trading, and make online purchases, without worrying that their personal information is being compromised. The dramatic increase of information transmitted electronically has led to an increased reliance on cryptography. This book discusses th
Practical Cyber Forensics: An Incident-Based Approach to Forensic Investigations
by Niranjan ReddyBecome an effective cyber forensics investigator and gain a collection of practical, efficient techniques to get the job done. Diving straight into a discussion of anti-forensic techniques, this book shows you the many ways to effectively detect them. Now that you know what you are looking for, you’ll shift your focus to network forensics, where you cover the various tools available to make your network forensics process less complicated. Following this, you will work with cloud and mobile forensic techniques by considering the concept of forensics as a service (FaSS), giving you cutting-edge skills that will future-proof your career.Building on this, you will learn the process of breaking down malware attacks, web attacks, and email scams with case studies to give you a clearer view of the techniques to be followed. Another tricky technique is SSD forensics, so the author covers this in detail to give you the alternative analysis techniques you’ll need. To keep you up to speed on contemporary forensics, Practical Cyber Forensics includes a chapter on Bitcoin forensics, where key crypto-currency forensic techniques will be shared. Finally, you will see how to prepare accurate investigative reports. What You Will LearnCarry out forensic investigation on Windows, Linux, and macOS systemsDetect and counter anti-forensic techniques Deploy network, cloud, and mobile forensicsInvestigate web and malware attacksWrite efficient investigative reportsWho This Book Is ForIntermediate infosec professionals looking for a practical approach to investigative cyber forensics techniques.