Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli

Simplifying Application Development with Kotlin Multiplatform Mobile. Write robust native applications for iOS and Android efficiently

Róbert Nagy

Sharing code between platforms can help developers gain a competitive edge, and Kotlin Multiplatform Mobile (KMM) offers a sensible way to do it. KMM helps mobile teams share code between Android and iOS in a flexible way, leaving room for native development.The book begins by helping you to gain a clear understanding of the Kotlin Multiplatform approach, how it works, and how it is different from cross-platform technologies, such as React Native and Flutter, and code sharing options, such as C++. You'll then see how your team can use this software development kit (SDK) to build native applications more effectively by learning timeless concepts and working through practical examples. As you advance, you'll get to grips with the core concepts, understand why UI sharing fails, and get hands-on with developing a small KMM application. Finally, you'll discover expert tips and best practices, along with production- and adoption-related questions, that will help you take the next step in your project and career.By the end of this Kotlin book, you'll have gained a solid understanding of the capabilities of KMM and be able to share code between Android and iOS flexibly.

iOS Game Programming Cookbook. Over 45 interesting game recipes that will help you create your next enthralling game

Bhanu Birani, Chhavi Vaishnav

Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions

Mohamed Abouahmed, Omar Ahmed

With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology.The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you’ll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you’ll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.By the end of this microservices book, you’ll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.

Unity Certified Programmer: Exam Guide. Expert tips and techniques to pass the Unity certification exam at the first attempt

Philip Walker

Unity Certified Programmer is a global certification program by Unity for anyone looking to become a professional Unity developer. The official Unity programmer exam will not only validate your Unity knowledge and skills, but also enable you to be part of the Unity community.This study guide will start by building on your understanding of C# programming and take you through the process of downloading and installing Unity. You’ll understand how Unity works and get to grips with the core objectives of the Unity exam. As you advance, you’ll enhance your skills by creating an enjoyable side-scrolling shooter game that can be played within the Unity Editor or any recent Android mobile device. This Unity book will test your knowledge with self-assessment questions and help you take your skills to an advanced level by working with Unity tools such as the Animator, Particle Effects, Lighting, UI/UX, Scriptable Objects, and debugging.By the end of this book, you’ll have developed a solid understanding of the different tools in Unity and understand how to create impressive Unity applications by making the most of its toolset.

Django 4 By Example. Build powerful and reliable Python web applications from scratch - Fourth Edition

Antonio Melé, Bob Belderbos

Django 4 By Example is the 4th edition of the best-selling franchise that helps you build web apps. This book will walk you through the creation of real-world applications, solving common problems, and implementing best practices using a step-by-step approach.You'll cover a wide range of web app development topics as you build four different apps:A blog application: Create data models, views, and URLs and implement an admin site for your blog. Create sitemaps and RSS feeds and implement a full-text search engine with PostgreSQL.A social website: Implement authentication with Facebook, Twitter, and Google. Create user profiles, image thumbnails, a bookmarklet, and an activity stream. Implement a user follower system and add infinite scroll pagination to your website.An e-commerce application: Build a product catalog, a shopping cart, and asynchronous tasks with Celery and RabbitMQ. Process payments with Stripe and manage payment notifications via webhooks. Build a product recommendation engine with Redis. Create PDF invoices and export orders to CSV.An e-learning platform: Create a content management system to manage polymorphic content. Cache content with Memcached and Redis. Build and consume a RESTful API. Implement a real-time chat using WebSockets with ASGI. Create a production environment using NGINX, uWSGI and Daphne with Docker Compose.This is a practical book that will have you creating web apps quickly.

Purple Team Strategies. Enhancing global security posture through uniting red and blue teams with adversary emulation

David Routin, Simon Thoores, Samuel Rossier

With small to large companies focusing on hardening their security systems, the term purple team has gained a lot of traction over the last couple of years. Purple teams represent a group of individuals responsible for securing an organization’s environment using both red team and blue team testing and integration – if you’re ready to join or advance their ranks, then this book is for you. Purple Team Strategies will get you up and running with the exact strategies and techniques used by purple teamers to implement and then maintain a robust environment. You’ll start with planning and prioritizing adversary emulation, and explore concepts around building a purple team infrastructure as well as simulating and defending against the most trendy ATT&CK tactics. You’ll also dive into performing assessments and continuous testing with breach and attack simulations. Once you’ve covered the fundamentals, you'll also learn tips and tricks to improve the overall maturity of your purple teaming capabilities along with measuring success with KPIs and reporting.With the help of real-world use cases and examples, by the end of this book, you'll be able to integrate the best of both sides: red team tactics and blue team security measures.

Tableau Cookbook - Recipes for Data Visualization. Click here to enter text

Shweta Sankhe-Savale

Data is everywhere and everything is data! Visualization of data allows us to bring out the underlying trends and patterns inherent in the data and gain insights that enable faster and smarter decision making. Tableau is one of the fastest growing and industry leading Business Intelligence platforms that empowers business users to easily visualize their data and discover insights at the speed of thought. Tableau is a self-service BI platform designed to make data visualization and analysis as intuitive as possible. Creating visualizations with simple drag-and-drop, you can be up and running on Tableau in no time.Starting from the fundamentals such as getting familiarized with Tableau Desktop, connecting to common data sources and building standard charts; you will walk through the nitty gritty of Tableau such as creating dynamic analytics with parameters, blended data sources, and advanced calculations. You will also learn to group members into higher levels, sort the data in a specific order & filter out the unnecessary information. You will then create calculations in Tableau & understand the flexibility & power they have and go on to building story-boards and share your insights with others.Whether you are just getting started or whether you need a quick reference on a “how-to” question, This book is the perfect companion for you

Learning Modular Java Programming. Explore the power of modular programming for building applications with Java and Spring!

Tejaswini Mandar Jog

Modular programming means dividing an application into small parts and then developing it. It is an approach taken by developers to build applications and helps them add efficiency in their development process, thus making it more effective.The book starts with the fundamentals of Modular Programming. Then we move on to the actual implementation, where we teach developers how to divide an application into different modules or layers (such as presentation, execution, security, lifecycle, services, and so on) for better management. Once readers are well-versed in these modules and their development, the book shows how to create bindings in order to join these different modules and form a complete application. Next, the readers will learn how to manage these modules through dependency injection.Later, we move on to testing; readers will learn how to test the different modules of an application. The book ends by teaching readers how to maintain different versions of their application and how to modify it. By the end of the book, readers will have a good understanding of modular programming and will be able to use it to build applications with Java.

Intelligent Document Capture with Ephesoft. Automate the processing of scanned and digital documents by improving accuracy using web-based open and modern intelligent document capture software - Second Edition

Michael Muller, Pat Myers, Jon Solove, Ike Kavas

Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition

Devin Knight, Erin Ostrowsky, Mitchell Pearson, Bradley Schacht

Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You’ll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you’ll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You’ll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there’s an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you’ll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You’ll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you’ll know how to get the most out of Power BI for better business intelligence.

Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries

Sinan Ozdemir

Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.

Simulation for Data Science with R. Effective Data-driven Decision Making

Matthias Templ

Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.

jMonkeyEngine 3.0 : Beginner's Guide. Whether you want to design 3D games with Java for love or for money, this is the primer you need to start using the free libraries of jMonkeyEngine 3.0. All hands on, all fun – it makes light work of learning

Erlend Sogge Heggen, Ruth Kusterer, Ruth Irene Kusterer

jMonkeyEngine 3.0 is a powerful set of free Java libraries that allows you to unlock your imagination, create 3D games and stunning graphics. Using jMonkeyEngine's library of time-tested methods, this book will allow you to unlock its potential and make the creation of beautiful interactive 3D environments a breeze.jMonkeyEngine 3.0 Beginner's Guide teaches aspiring game developers how to build modern 3D games with Java. This primer on 3D programming is packed with best practices, tips and tricks and loads of example code. Progressing from elementary concepts to advanced effects, budding game developers will have their first game up and running by the end of this book.From basic concepts and project creation to building a complex 3D Game, you will learn to layout 3D scenes, make them interactive and add various multi-media effects.You will find answers to common questions including best practices and approaches, how game characters can act and interact, how to simulate solid walls and physical forces, how to take it online to play over a network and much more.From Zero to Hero, start your journey to make your game idea a reality.

Monitoring with Opsview. Once you've learnt Opsview monitoring, you can keep watch over your whole IT environment, whether physical, virtual, or private cloud. This book is the perfect introduction, featuring lots of screenshots and examples for fast learning

Alan S Wijntje

Monitoring increasingly complex IT environments can pose quite a challenge. Virtualization and cloud-based applications are finding their way into many IT estates over the world. Keeping a watchful eye out for your infrastructure is now more important than ever, and Opsview allows you to do just that.Monitoring with Opsview is a practical guide to the entire Opsview product range, consisting of various examples and screenshots to help you get up and running with Opsview. This book will show you the powerful features and modules available in Opsview, and will help you create an Opsview-based monitoring system suited for your needs.Starting with the installation of your own Opsview Core system, we will then go through the basic configuration followed by the various special features of the system, using practical examples to show how we can make use of these features. After covering the Core system, we will later look at the Pro and Enterprise offerings and how their additional features can benefit you.You will learn about the unique features of Opsview like viewing (and interacting with) your IT estate from mobile devices like smartphones and tablets, creating special views with keywords, and using templates for fast configurations. From there, we will move on to the Pro and Enterprise systems, looking at the powerful modules available like distributed monitoring and reporting, and finishing it all off with a discussion of the eye-catching dashboards.Monitoring with Opsview will show you the power of the Opsview system, keywords, attributes, dashboards, and all the tools you need to get that single view into your entire IT estate.