Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition

Julien Simon

Amazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by eliminating the heavy lifting typically involved in each step of the ML process. This second edition will help data scientists and ML developers to explore new features such as SageMaker Data Wrangler, Pipelines, Clarify, Feature Store, and much more.You'll start by learning how to use various capabilities of SageMaker as a single toolset to solve ML challenges and progress to cover features such as AutoML, built-in algorithms and frameworks, and writing your own code and algorithms to build ML models. The book will then show you how to integrate Amazon SageMaker with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how automating your workflows can help you get to production faster with minimum effort and at a lower cost. Finally, you'll explore SageMaker Debugger and SageMaker Model Monitor to detect quality issues in training and production.By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.

Embedded Systems Architecture. Design and write software for embedded devices to build safe and connected systems - Second Edition

Daniele Lacamera

Embedded Systems Architecture begins with a bird’s-eye view of embedded development and how it differs from the other systems that you may be familiar with. This book will help you get the hang of the internal working of various components in real-world systems.You’ll start by setting up a development environment and then move on to the core system architectural concepts, exploring system designs, boot-up mechanisms, and memory management. As you progress through the topics, you’ll explore the programming interface and device drivers to establish communication via TCP/IP and take measures to increase the security of IoT solutions. Finally, you’ll be introduced to multithreaded operating systems through the development of a scheduler and the use of hardware-assisted trusted execution mechanisms.With the help of this book, you will gain the confidence to work with embedded systems at an architectural level and become familiar with various aspects of embedded software development on microcontrollers—such as memory management, multithreading, and RTOS—an approach oriented to memory isolation.

Mastering Embedded Linux Programming. Harness the power of Linux to create versatile and robust embedded solutions

Chris Simmonds

Mastering Embedded Linux Programming takes you through the product cycle and gives you an in-depth description of the components and options that are available at each stage. You will begin by learning about toolchains, bootloaders, the Linux kernel, and how to configure a root filesystem to create a basic working device. You will then learn how to use the two most commonly used build systems, Buildroot and Yocto, to speed up and simplify the development process. Building on this solid base, the next section considers how to make best use of raw NAND/NOR flash memory and managed flash eMMC chips, including mechanisms for increasing the lifetime of the devices and to perform reliable in-field updates. Next, you need to consider what techniques are best suited to writing applications for your device. We will then see how functions are split between processes and the usage of POSIX threads, which have a big impact on the responsiveness and performance of the final device The closing sections look at the techniques available to developers for profiling and tracing applications and kernel code using perf and ftrace.

The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, ...

Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You’ll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you’ll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you’ll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.By the end of this deep learning book, you’ll have learned the skills essential for building deep learning models with TensorFlow and Keras.

Enterprise Architecture with .NET. Expert-backed advice for information system design, down to .NET and C# implementation

Jean-Philippe Gouigoux, Dalila Tamzalit

The software development domain continues to grow exponentially, and information systems have become the backbone of most industries, including non-digital-native ones. However, technical debt, coupling, and a high level of maintenance - sometimes bringing IT systems to a complete halt – continue to present a problem. The software industry has to still apply standards-based, modular, and repeatable approaches that exist in other industries.This book demonstrates such methods in action, particularly business/IT alignment principles. As you progress, you’ll cover advanced concepts and theories currently researched in academia. Then, you’ll be guided toward a practical framework to transfer these approaches to actual software architecture. Finally, a dedicated section will help you apply the knowledge you gain to a sample application in .NET where API design, dependency management, and code writing will be explained in detail to relate to the business-alignment principles explained at the beginning. Throughout the book, you’ll get equipped with the skills to create modular, long-living applications that serve your users better.By the end of this .NET book, you’ll not only have learned new concepts but also gained the ability to apply them immediately to your upcoming software endeavors.

Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis

Eryk Lewinson

Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks.By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach.

The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation

Bill Schmarzo, Dr. Kirk Borne

In today’s digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization’s data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise.The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company’s operations through AI and machine learning.By the end of the book, you will have the tools and techniques to drive your organization’s digital transformation.Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book:Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon.

Building your First Mobile Game using XNA 4.0. A fast-paced, hands-on guide to building a 3D game for the Windows Phone 7 platform using XNA 4.0

Brecht Kets, Thomas Goussaert

With the dawn of the Windows Phone 7 platform, Microsoft has offered us an easy way to create 3D mobile games. In this book, we will build a 3D game for Windows Phone 7 together, taking full advantage of the graphics and touch capabilities, along with the sensors of the platform.Building your First Mobile Game using XNA 4.0 is the book for starting game development on the Windows Phone 7 platform. This book will go over the technical aspects of building games along with designing your own framework. Finally we'll build an actual game together from the ground up! This book will set future mobile game developers in the right direction.The XNA framework empowers us to build 2D and 3D games for PC, Xbox 360 and Windows Phone 7. We will use those capabilities to create stunning 3D games for the Windows Phone 7 platform. We will start by covering the basics like drawing graphics, followed by building a custom framework and end with building a game together!In this book, we will cover drawing 2D and 3D graphics, both static and animations. We will also cover the various ways of handling user input and help set the mood of our game playing both 2D and 3D sound, and accessing the user's media library. The only thing left before building a game is covering several techniques created for making our life easier while building the game, whilst building a framework to do just that. Finally, we'll build a 3D game together that will run on the Windows Phone 7 platform.Building your First Mobile Game using XNA 4.0 is the book you need to get started with mobile game development for Windows Phone 7. Its hands on approach will set you on your way in no time. Let's build some games!

Home Automation with Intel Galileo. Create thrilling and intricate home automation projects using Intel Galileo

Onur Dundar

Learn Computer Forensics. Your one-stop guide to searching, analyzing, acquiring, and securing digital evidence - Second Edition

William Oettinger

Computer Forensics, being a broad topic, involves a variety of skills which will involve seizing electronic evidence, acquiring data from electronic evidence, data analysis, and finally developing a forensic report.This book will help you to build up the skills you need to work in a highly technical environment. This book's ideal goal is to get you up and running with forensics tools and techniques to successfully investigate crime and corporate misconduct. You will discover ways to collect personal information about an individual from online sources. You will also learn how criminal investigations are performed online while preserving data such as e-mails, images, and videos that may be important to a case. You will further explore networking and understand Network Topologies, IP Addressing, and Network Devices. Finally, you will how to write a proper forensic report, the most exciting portion of the forensic exam process.By the end of this book, you will have developed a clear understanding of how to acquire, analyze, and present digital evidence, like a proficient computer forensics investigator.

Modern API Development with Spring and Spring Boot. Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm

Sourabh Sharma

The philosophy of API development has evolved over the years to serve the modern needs of enterprise architecture, and developers need to know how to adapt to these modern API design principles. Apps are now developed with APIs that enable ease of integration for the cloud environment and distributed systems. With this Spring book, you'll discover various kinds of production-ready API implementation using REST APIs and explore async using the reactive paradigm, gRPC, and GraphQL.You'll learn how to design evolving REST-based APIs supported by HATEOAS and ETAGs and develop reactive, async, non-blocking APIs. After that, you'll see how to secure REST APIs using Spring Security and find out how the APIs that you develop are consumed by the app's UI. The book then takes you through the process of testing, deploying, logging, and monitoring your APIs. You'll also explore API development using gRPC and GraphQL and design modern scalable architecture with microservices. The book helps you gain practical knowledge of modern API implementation using a sample e-commerce app. By the end of this Spring book, you'll be able to develop, test, and deploy highly scalable, maintainable, and developer-friendly APIs to help your customers to transform their business.

Learning OpenCV 3 Computer Vision with Python. Unleash the power of computer vision with Python using OpenCV

Gionata Minichino, Joseph Howse, Gil Levi, Joe Minichino

IDS and IPS with Snort 3. Get up and running with Snort 3 and discover effective solutions to your security issues

Ashley Thomas

Snort, an open source intrusion detection and prevention system (IDS/IPS), capable of real-time traffic analysis and packet logging, is regarded as the gold standard in IDS and IPS. The new version, Snort 3, is a major upgrade to the Snort IDS/IPS, featuring a new design and enhanced detection functionality, resulting in higher efficacy and improved performance, scalability, usability, and extensibility. Snort 3 is the latest version of Snort, with the current version at the time of writing being Snort v3.3.3.This book will help you understand the fundamentals of packet inspection in Snort and familiarize you with the various components of Snort. The chapters take you through the installation and configuration of Snort, focusing on helping you fine-tune your installation to optimize Snort performance. You’ll get to grips with creating and modifying Snort rules, fine-tuning specific modules, deploying and configuring, as well as troubleshooting Snort. The examples in this book enable network administrators to understand the real-world application of Snort, while familiarizing them with the functionality and configuration aspects.By the end of this book, you’ll be well-equipped to leverage Snort to improve the security posture of even the largest and most complex networks.

PhoneGap Essentials. Use PhoneGap to build cross-platform mobile applications quickly and efficiently

Ivan Turkovic

Architecting Cloud-Native Serverless Solutions. Design, build, and operate serverless solutions on cloud and open source platforms

Safeer CM

Serverless computing has emerged as a mainstream paradigm in both cloud and on-premises computing, with AWS Lambda playing a pivotal role in shaping the Function-as-a-Service (FaaS) landscape. However, with the explosion of serverless technologies and vendors, it has become increasingly challenging to comprehend the foundational services and their offerings.Architecting Cloud Native Serverless Solutions lays a strong foundation for understanding the serverless landscape and technologies in a vendor-agnostic manner. You'll learn how to select the appropriate cloud vendors and technologies based on your specific needs. In addition, you'll dive deep into the serverless services across AWS, GCP, Azure, and Cloudflare followed by open source serverless tools such as Knative, OpenFaaS, and OpenWhisk, along with examples. You'll explore serverless solutions on Kubernetes that can be deployed on both cloud-hosted clusters and on-premises environments, with real-world use cases. Furthermore, you'll explore development frameworks, DevOps approaches, best practices, security considerations, and design principles associated with serverless computing.By the end of this serverless book, you'll be well equipped to solve your business problems by using the appropriate serverless vendors and technologies to build efficient and cost-effective serverless systems independently.

Flash Multiplayer Virtual Worlds. Build immersive, full-featured interactive worlds for games, online communities, and more

Makzan Makzan (Mak Seng Hin), Seng Hin Mak

Flash virtual worlds are some of the most exciting—and profitable—online business being built today. Using Flash, developers can build interactive environments where users can interact with the virtual world and one another, compete, and have fun. Creating a playful environment on an electronic network presents unique challenges as you combine a fun, upbeat frontend with some serious and complex server logic.This handy book assists you in building amazing virtual worlds in no time by implementing ActionScripts in a Flash IDE. With this book in hand, you will build virtual worlds that have avatars walking around and interacting with non playing characters, completing challenging quests, and allowing users to link with real-world friends.The fun begins with first exploring existing virtual world games such as Club Penguin, Mole, Dofus, and World of Warcraft. We will then design our virtual environment. Then we will create avatars and move the avatars in the virtual world. We will add some triggers to add amusement and life to the virtual world. We will allow the avatars to interact with other players and create a buddy list for each user. Then we will integrate buildings and other environment to the virtual world. We will also let the players interact with non-player characters to complete some tasks. Finally, we move on to add interesting quests to the virtual world, which need to be accomplished by the player to gear up to the next level of the game.This example-rich, hands-on guide sequentially develops a multiplayer virtual world—the platform, the environment, quests, avatars, non-playing characters, and interaction between them.

Digital Forensics and Incident Response. A practical guide to deploying digital forensic techniques in response to cyber security incidents

Gerard Johansen

Digital Forensics and Incident Response will guide you through the entire spectrum of tasks associated with incident response, starting with preparatory activities associated with creating an incident response plan and creating a digital forensics capability within your own organization. You will then begin a detailed examination of digital forensic techniques including acquiring evidence, examining volatile memory, hard drive assessment, and network-based evidence. You will also explore the role that threat intelligence plays in the incident response process. Finally, a detailed section on preparing reports will help you prepare a written report for use either internally or in a courtroom.By the end of the book, you will have mastered forensic techniques and incident response and you will have a solid foundation on which to increase your ability to investigate such incidents in your organization.

Mastering QuickBooks 2020. The ultimate guide to bookkeeping and QuickBooks Online

Crystalynn Shelton

Intuit QuickBooks is an accounting software package that helps small business owners to manage all their bookkeeping tasks. Its complete range of accounting capabilities, such as tracking income and expenses, managing payroll, simplifying taxes, and accepting online payments, makes QuickBooks software a must-have for business owners and aspiring bookkeepers.This book is a handy guide to using QuickBooks Online to manage accounting tasks and drawing business insights by generating reports easily. Using a fictitious company, the book demonstrates how to create a QuickBooks Online account; customize key settings for a business; manage customers, vendors, and products and services; generate reports; and close the books at the end of the period. QuickBooks records your debits and credits, so you don't need to learn accounting. However, you will find out what happens under the hood and understand how your financial statements are impacted by what you do in QuickBooks. You'll also discover tips, shortcuts, and best practices that will help you save time and become a QuickBooks pro.By the end of this book, you'll have become well-versed with the features of QuickBooks and be able to set up your business and manage all bookkeeping tasks with ease.

Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition

Luis Pedro Coelho, Willi Richert, Matthieu Brucher

Machine learning enables systems to make predictions based on historical data. Python is one of the most popular languages used to develop machine learning applications, thanks to its extensive library support. This updated third edition of Building Machine Learning Systems with Python helps you get up to speed with the latest trends in artificial intelligence (AI).With this guide’s hands-on approach, you’ll learn to build state-of-the-art machine learning models from scratch. Complete with ready-to-implement code and real-world examples, the book starts by introducing the Python ecosystem for machine learning. You’ll then learn best practices for preparing data for analysis and later gain insights into implementing supervised and unsupervised machine learning techniques such as classification, regression and clustering. As you progress, you’ll understand how to use Python’s scikit-learn and TensorFlow libraries to build production-ready and end-to-end machine learning system models, and then fine-tune them for high performance.By the end of this book, you’ll have the skills you need to confidently train and deploy enterprise-grade machine learning models in Python.

Web Development with MongoDB and Node.js. Build an interactive and full-featured web application from scratch using Node.js and MongoDB

Jason Krol

Practical Arduino Robotics. A hands-on guide to bringing your robotics ideas to life using Arduino

Lukas Kaul

Every robot needs a “brain,” and the Arduino platform provides an incredibly accessible way to bring your Arduino robot to life. Anyone can easily learn to build and program their own robots with Arduino for hobby and commercial uses, making Arduino-based robots the popular choice for school projects, college courses, and the rapid prototyping of industrial applications!Practical Arduino Robotics is a comprehensive guide that equips you with the necessary skills and techniques that can be applied to various projects and applications, from automating repetitive tasks in a laboratory to building engaging mobile robots.Building on basic knowledge of programming and electronics, this book teaches you how to choose the right components, such as Arduino boards, sensors, and motors, and write effective code for your robotics project, including the use of advanced third-party Arduino libraries and interfaces, such as Analog, SPI, I2C, PWM, and UART. You'll also learn different ways to command your robots wirelessly, such as over Wi-Fi. Finally, with basic to advanced project examples, this book illustrates how to build exciting autonomous robots like a self-balancing telepresence robot.By the end of this book, you'll be able to design and create your own custom robots for a wide variety of applications.

Machine Learning for the Web. Gaining insight and intelligence from the internet with Python

Andrea Isoni

Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python’s impressive Django framework and will find out how to build a modern simple web app with machine learning features.

Essential Computer Hardware. Understanding the Building Blocks of Modern Technology and Securing Your Digital World

Kevin Wilson

You'll begin this course with basic computer fundamentals, setting the foundation for critical hardware components that power every computing device. From motherboards to processors, you'll gain a solid understanding of how these elements work together to create a functioning computer.As you progress, you'll uncover the importance of peripheral devices, discovering how external components interact with the core hardware. The course also covers the diverse types of computers, ranging from personal desktops to powerful servers, and guides you in interpreting hardware specifications to make informed decisions when purchasing or upgrading equipment. The course continues with an introduction to computer software, focusing on the relationship between hardware & the programs that bring them to life.In the final stages, the course shifts its focus to computer networks and the internet, offering insights into how devices connect and communicate on a global scale. You'll explore the essential principles of internet security, learning how to protect your devices and data from online threats. By the end of this course, you'll have a well-rounded understanding of both the physical and digital aspects of computing, empowering you to navigate the technological landscape with confidence.

Optimizing Citrix XenDesktop for High Performance. Successfully deploy XenDesktop sites for a high performance Virtual Desktop Infrastructure (VDI)

Craig Thomas Ellrod

Citrix XenDesktop is a suite of desktop virtualization tools designed to provide users with fast and convenient access to their Windows desktops and applications through any device. Virtual desktops mean that rather than setting up hundreds or thousands of individual computers in an enterprise, companies can instead opt to create servers with large amounts of memory, disk, and processing resources, and use virtualization to offer these resources to end users. The result of this is that users are provided with an experience that appears to be identical to having an individual desktop PC. Each user has some disk space, processor time, and memory allocated to them, as though it is present on their own physical machine, when in reality, the resources are physically present on a centralized server.This book starts by answering the basic questions you need to ask when considering XenDesktop, followed by methods of how you can properly size your server infrastructure for XenDesktop. You’ll discover how to optimize the virtual machines used in XenDesktop, how to optimize your network for XenDesktop, and how to optimize the hypervisor and the cloud. You’ll also learn how to monitor XenDesktop to maximize performance.By the end of the book, you will be able to plan, design, build, and deploy high performance XenDesktop Virtualization systems in enterprises. You will also know how to monitor and maintain your systems to ensure smooth operation.