The call for innovation within both society and all sectors of enterprise at large grows louder every day. In order to achieve this, organizations need to attract talent with the insight and creativity necessary to be able to understand the needs of not only this generation, but also future generations. Make Your Organization a Center of Innovation introduces key frameworks that can be adapted to any business or team focused on innovation.Some aspects that are crucial for an organization to become a center of innovation are change management, process mining, and overall company strategy. Author Stijn Van Hijfte also introduces you to newer techniques that are still making their way up the ladder to overall industry adoption. These include AI, blockchain, and intelligent automation. Van Hijfte also takes care to ensure you choose the right innovation strategy for your specific company goals, as opposed to solely showing off the latest industry trends within the topic.Make Your Organization a Center of Innovation is perfect for business leaders, students, recruiters, and more. You will come away with insights about how to best prepare your team's stakeholders for the changes that innovation brings. The mission and vision of your organization should always be promoting new ideas, but a roadmap is needed to implement them effectively. Make Your Organization a Center of Innovation is the guide you've been seeking.What You Will LearnDiscover key innovation and idea generation frameworks that can be molded to suit your organizationPrepare stakeholders for the changes that will take placeChoose the right strategy for the mission and vision of the company Create an environment that actually promotes new ideasWho This Book is ForProfessionals that have an interest in innovation and want to have a high-level understanding of technologies and trends that could be useful in their search towards new solutions.
Master the art of game creation with MonoGame-the cross-platform framework of choice for independent developers. Learn the various aspects needed to create your next game by covering MonoGame framework specifics, engine creation, graphics, patterns, and more.The MonoGame framework provides an incredible canvas for the programmer to create their next 2D game, and this book teaches you to make the most of it. You will start from the ground up, beginning with the basics of what MonoGame is, the pipeline, and then how to build a reusable game engine on top of the framework. You will deep dive into various components of each aspect of a game, including graphics, input, audio, and artificial intelligence. The importance of game tooling is also covered. By the end, you will have a mastery level of understanding of how to create a 2D game using MonoGame.With a fully functional 2D game, aspiring developers will have the ideal blueprint to tackle their next fully featured game. The material covered is applicable for almost any 2D game project ranging from side scrolling adventures to fighting games. What You Will LearnLearn to build a game with the MonoGame framework.Understand game engine architecture and how to build an engine onto the MonoGame framework.Grasp common design patterns used in game development and in fully featured engines, such as Unity. Who This Book Is ForBeginner to advanced MonoGame programmer would find this book helpful. The audience is expected to have a working knowledge of C#.
This book teaches system programming with the latest versions of C through a set of practical examples and problems. It covers the development of a handful of programs, implementing efficient coding examples. Practical System Programming with C contains three main parts: getting your hands dirty with multithreaded C programming; practical system programming using concepts such as processes, signals, and inter-process communication; and advanced socket-based programming which consists of developing a network application for reliable communication. You will be introduced to a marvelous ecosystem of system programming with C, from handling basic system utility commands to communicating through socket programming. With the help of socket programming you will be able to build client-server applications in no time. The "e;secret sauce"e; of this book is its curated list of topics and solutions, which fit together through a set of different pragmatic examples; each topic is covered from scratch in an easy-to-learn way. On that journey, you'll focus on practical implementations and an outline of best practices and potential pitfalls. The book also includes a bonus chapter with a list of advanced topics and directions to grow your skills. What You Will Learn Program with operating systems using the latest version of C Work with Linux Carry out multithreading with C Examine the POSIX standardsWork with files, directories, processes, and signals Explore IPC and how to work with it Who This Book Is For Programmers who have an exposure to C programming and want to learn system programming. This book will help them to learn about core concepts of operating systems with the help of C programming..
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.You'll start with an introduction to machine learning, highlighting the differences between supervised, semi-supervised and unsupervised learning. In the following chapters you'll study regression and classification problems, mathematics behind them, algorithms like Linear Regression, Logistic Regression, Decision Tree, KNN, Naive Bayes, and advanced algorithms like Random Forest, SVM, Gradient Boosting and Neural Networks. Python implementation is provided for all the algorithms. You'll conclude with an end-to-end model development process including deployment and maintenance of the model.After reading Supervised Learning with Python you'll have a broad understanding of supervised learning and its practical implementation, and be able to run the code and extend it in an innovative manner.What You'll LearnReview the fundamental building blocks and concepts of supervised learning using PythonDevelop supervised learning solutions for structured data as well as text and images Solve issues around overfitting, feature engineering, data cleansing, and cross-validation for building best fit modelsUnderstand the end-to-end model cycle from business problem definition to model deployment and model maintenance Avoid the common pitfalls and adhere to best practices while creating a supervised learning model using PythonWho This Book Is ForData scientists or data analysts interested in best practices and standards for supervised learning, and using classification algorithms and regression techniques to develop predictive models.
Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures-starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis. This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are. What You'll LearnDevelop Machine Learning ApplicationsTranslate languages using neural networksCompose images with style transferWho This Book Is ForBeginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.
Use this book to build secure firmware.As operating systems and hypervisors have become successively more hardened, malware has moved further down the stack and into firmware. Firmware represents the boundary between hardware and software, and given its persistence, mutability, and opaqueness to today's antivirus scanning technology, it represents an interesting target for attackers.As platforms are universally network-connected and can contain multiple devices with firmware, and a global supply chain feeds into platform firmware, assurance is critical for consumers, IT enterprises, and governments. This importance is highlighted by emergent requirements such as NIST SP800-193 for firmware resilience and NIST SP800-155 for firmware measurement.This book covers the secure implementation of various aspects of firmware, including standards-based firmware-such as support of the Trusted Computing Group (TCG), Desktop Management Task Force (DMTF), and Unified Extensible Firmware Interface (UEFI) specifications-and also provides code samples and use cases. Beyond the standards, alternate firmware implementations such as ARM Trusted Firmware and other device firmware implementations (such as platform roots of trust), are covered.What You Will LearnGet an overview of proactive security development for firmware, including firmware threat modelingUnderstand the details of architecture, including protection, detection, recovery, integrity measurement, and access controlBe familiar with best practices for secure firmware development, including trusted execution environments, cryptography, and language-based defensesKnow the techniques used for security validation and maintenanceWho This Book Is ForGiven the complexity of modern platform boot requirements and the threat landscape, this book is relevant for readers spanning from IT decision makers to developers building firmware
Learn effective and scalable database design techniques in a SQL Server 2016 and higher environment. This book is revised to cover in-memory online transaction processing, temporal data storage, row-level security, durability enhancements, and other design-related features that are new or changed in SQL Server 2016. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for forty years coupled with technology that is constantly changing. Pro SQL Server Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to "e;get it right"e; in SQL Server database design and lay a solid groundwork for the future use of valuable business data.The pace of change in relational database management systems has been tremendous these past few years. Whereas in the past it was enough to think about optimizing data residing on spinning hard drives, today one also must consider solid-state storage as well as data that are constantly held in memory and never written to disk at all except as a backup. Furthermore, there is a trend toward hybrid cloud and on-premise database configurations as well a move toward preconfigured appliances. Pro SQL Server Relational Database Design and Implementation guides in the understanding of these massive changes and in their application toward sound database design.Gives a solid foundation in best practices and relational theoryCovers the latest implementation features in SQL Server 2016Helps you master in-memory OLTP and use it effectivelyTakes you from conceptual design to an effective, physical implementationWhat You Will LearnDevelop conceptual models of client data using interviews and client documentationRecognize and apply common database design patternsNormalize data models to enhance scalability and the long term use of valuable dataTranslate conceptual models into high-performing SQL Server databasesSecure and protect data integrity as part of meeting regulatory requirementsCreate effective indexing to speed query performanceWho This Book Is ForProgrammers and database administrators of all types who want to use SQL Server to store data. The book is especially useful to those wanting to learn the very latest design features in SQL Server 2016, features that include an improved approach to in-memory OLTP, durability enhancements, temporal data support, and more. Chapters on fundamental concepts, the language of database modeling, SQL implementation, and of course, the normalization process, lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the very latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2016.
Chapter 1: Gentle Introduction to ML and NLPChapter Goal: Present general ideas of ML and how NLP works ┬╖ Intro to ML┬╖ Intro to NLPChapter 2: Apple''s ML ToolsChapter Goal: Learn the tools that Apple provides for ML ┬╖ CoreML┬╖ CreateML┬╖ TuriCreateChapter 3: Text ClassificationChapter Goal: Learn the tools that Apple provides for ML ┬╖ Spam SMS classification┬╖ Find the author of a writing┬╖ TuriCreateChapter 4: Natural Language FrameworkChapter Goal: Learn iOS''s built in NLP capabilities┬╖ Tokenization┬╖ Classify nouns, verbs, and adjectives┬╖ Detect people, places, and organizations in textChapter 5: Find Answers to Questions in a Text DocumentChapter Goal: Use BERT model to find the answer to a user''s question in a body of text. ┬╖ BERT model┬╖ Text handlingChapter 6: Advanced Usages┬╖ Convert NLP models from Keras to Core ML┬╖ Convert NLP models from TensorFlow to Core ML
Intermediate-Advanced user level
Prevent destructive attacks to your Azure public cloud infrastructure, remove vulnerabilities, and instantly report cloud security readiness. This book provides comprehensive guidance from a security insider's perspective.Cyber Security on Azure supports cloud security operations and cloud security architects by supplying a path to clearly identify potential vulnerabilities to business assets and reduce security risk in Microsoft Azure subscription. This updated edition explores how to "e;lean-in"e; and recognize challenges with IaaS and PaaS for identity, networks, applications, virtual machines, databases, and data encryption to use the variety of Azure security tools. You will dive into Azure Cloud Security to guide cloud operations teams to become more security focused in many areas and laser focused on security configuration. New chapters cover Azure Kubernetes Service and Container security and you will get up and running quickly with an overview of Azure Sentinel SIEM Solution.What You'll LearnUnderstand enterprise privileged identity and security policies"e;Shift left"e; with security controls in Microsoft AzureConfigure intrusion detection and alertsReduce security risks using Azure Security ServiceWho This Book Is ForIT, cloud, and security administrators in Azure
Learn how to use a Raspberry Pi in conjunction with an Arduino to build a basic robot with advanced capabilities. Getting started in robotics does not have to be difficult. This book is an insightful and rewarding introduction to robotics and a catalyst for further directed study. You'll be led step by step through the process of building a robot that uses the power of a Linux based computer paired with the simplicity of Arduino. You'll learn why the Raspberry Pi is a great choice for a robotics platform; its strengths as well as its shortcomings; how to overcome these limitations by implementing an Arduino; and the basics of the Python programming language as well as some of the more powerful features.With the Raspberry Pi you can give your project the power of a Linux computer, while Arduino makes interacting with sensors and motors very easy. These two boards are complimentary in their functions; where one falters the other performs admirably.The book also includes references to other great works to help further your growth in the exciting, and now accessible, field of smart robotics. As a bonus, the final chapter of the book demonstrates the real power of the Raspberry Pi by implementing a basic vision system. Using OpenCV and a standard USB web cam, you will build a robot that can chase a ball.What You'll LearnInstall Raspbian, the operating system that drives the Raspberry PiDrive motors through an I2C motor controllerRead data through sensors attached to an ArduinoWho This Book Is For Hobbyists and students looking for a rapid start in robotics. It assumes no technical background. Readers are guided to pursue the areas that interest them in more detail as they learn.
Intermediate
Intermediate-Advanced user level
Beginning-Intermediate user level
Develop versatile iOS and Android apps using Python withRESTful web services. By the end of the book, you'll have developed three appspowered by Django-a desktop React app, an iOS app, and an Android app.
Intermediate user level
Beginning-Intermediate user level
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