Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide

Abdulrahman Kerim

The machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges.This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You’ll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you’ll uncover the secrets and best practices to harness the full potential of synthetic data.By the end of this book, you’ll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.

AWS Observability Handbook. Monitor, trace, and alert your cloud applications with AWS’ myriad observability tools

Phani Kumar Lingamallu, Fabio Braga de Oliveira

As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.

Ext JS Data-driven Application Design. Learn how to build a user-friendly database in Ext JS using data from an existing database with this step-by-step tutorial. Takes you from first principles right through to implementation

Kazuhiro Kotsutsumi

Sencha Ext JS is an industry leader for business-standard web application development. Ext JS is a leading JavaScript framework that comes with a myriad of components, APIs, and extensive documentation that you can harness to build powerful and interactive applications. Using Ext JS, you can quickly develop rich desktop web applications that are compatible with all major browsers.This book will enable you to build databases using information from an existing database with Ext JS. It covers the MVC application architecture that enables development teams to work independently on one project. Additionally, the book teaches advanced charting capability, enabling developers to create state-of-the-art charts just once. These charts are compatible with major browsers without the need to rely on plugins.This hands-on, practical guide will take you through the mechanics of building an application. In this instance, we will use this application to manage existing data structures in the form of a database.You will begin by making SQL and tables in MySQL and will then move on to developing the project environment and introducing Sencha Cmd. You will learn to create a form to input data and monitor the state of the input, while seeing how Ext Direct will validate the form on the server side.Finally, you will have a working application that is ready for you to customize to suit your needs. You can also use it as a template for any future projects when you need a similar database.

Hands-On Unity 2022 Game Development. Learn to use the latest Unity 2022 features to create your first video game in the simplest way possible - Third Edition

Nicolas Alejandro Borromeo

Unity is a cross-platform game engine that provides you with powerful but simple-to-use features to solve the most common problems in Game Development, such as rendering, animation, physics, sound, and effects. You’ll learn to use these features to create simple but complete games (and all the nuances needed to handle Unity).Complete with hands-on tutorials and projects, this book will teach you to use the Unity game engine, create C# and visual scripts, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You’ll then code a simple AI agent to challenge the user and work with profiling tools to ensure code efficiency.Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games before publishing them to the world.If you are interested in creating impressive, commercial-quality games that are playable on a variety of platforms, then you’ve come to the right place.

Operator Training Simulator Handbook. Best practices for developing and investing in OTS

Joseph Philip, Frank David Todd

Operator training simulators in the process industry have been around since the 1970s, but you may not find a book that documents the development of these systems and the standard best practices. The Operator Training Simulator Handbook covers best practices for OTS engineering and OTS training development and delivery, starting from the basic the jargon and the different types of OTS systems. It will take you through the best approaches to project specification as well as building, maintenance, planning, and delivering these systems by sharing real-life experiences and dos and don’ts.As you advance, you'll uncover the various challenges in the planning and delivery of operator training models and understand how to address those by working through real-world projects. This book helps in specifying the best fit for purpose, choosing a cost-effective system when acquiring an OTS. You'll also learn how you can turn your OTS projects into digital twins before finally learning all about documentation in a typical OTS project, covering the sample structure that you can use as a starting point in your projects.By the end of the book, you'll have learned best practices for developing operator training simulator systems and have a reference guide to overcome common challenges.

Apache Hive Cookbook

Hanish Bansal, Shrey Mehrotra, Saurabh Chauhan

Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today’s Big Data world.This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version.Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks.

VMware NSX Network Essentials. Join the revolution in Software Defined Networking

sreejith c

VMware NSX is at the forefront of the software-defined networking revolution. It makes it even easier for organizations to unlock the full benefits of a software-defined data center – scalability, flexibility – while adding in vital security and automation features to keep any sysadmin happy. Software alone won’t power your business – with NSX you can use it more effectively than ever before, optimizing your resources and reducing costs.Getting started should be easy – this guide makes sure it is. It takes you through the core components of NSX, demonstrating how to set it up, customize it within your current network architecture. You’ll learn the principles of effective design, as well as some things you may need to take into consideration when you’re creating your virtual networks. We’ll also show you how to construct and maintain virtual networks, and how to deal with any tricky situations and failures.By the end, you’ll be confident you can deliver, scale and secure an exemplary virtualized network with NSX.

Hands-On Software Engineering with Golang. Move beyond basic programming to design and build reliable software with clean code

Achilleas Anagnostopoulos

Over the last few years, Go has become one of the favorite languages for building scalable and distributed systems. Its opinionated design and built-in concurrency features make it easy for engineers to author code that efficiently utilizes all available CPU cores.This Golang book distills industry best practices for writing lean Go code that is easy to test and maintain, and helps you to explore its practical implementation by creating a multi-tier application called Links ‘R’ Us from scratch. You’ll be guided through all the steps involved in designing, implementing, testing, deploying, and scaling an application. Starting with a monolithic architecture, you’ll iteratively transform the project into a service-oriented architecture (SOA) that supports the efficient out-of-core processing of large link graphs. You’ll learn about various cutting-edge and advanced software engineering techniques such as building extensible data processing pipelines, designing APIs using gRPC, and running distributed graph processing algorithms at scale. Finally, you’ll learn how to compile and package your Go services using Docker and automate their deployment to a Kubernetes cluster.By the end of this book, you’ll know how to think like a professional software developer or engineer and write lean and efficient Go code.