Learning C++ by Creating Games with UE4. Learn C++ programming with a fun, real-world application that allows you to create your own games!

William Sherif

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS

Gareth Eagar

Written by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS.As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data.By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.

Microsoft Dynamics AX 2012 R3 Financial Management. Boost your accounting and financial skills with Microsoft Dynamics AX 2012 R3

Mohamed Aamer Ala El Din (USD), Mohamed Aamer

GPT-3. The Ultimate Guide To Building NLP Products With OpenAI API

Sandra Kublik, Shubham Saboo

GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3.Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.

Monkey Game Development: Beginner's Guide. Create monetized 2d games deployable to almost any platform with this book and

Michael Hartlef

Monkey is a programming language and toolset that allows its user to develop modern 2D games easily for mobile and other platforms like iOS, Android, HTML5, FLASH, OSX, Windows and XNA. With Monkey you can create best selling games in a matter of weeks, instead of months.Monkey Game Development Beginner's Guide provides easy-to-follow step by step instructions on how to create eight different 2D games and how to deploy them to various platforms and markets. Learning about the structure of Monkey and how everything works together you will quickly create eight classical games and publish them to the modern app markets. Throughout the book you will learn important game development techniques like collision detection, handling player input with mouse, keyboard or touch events and creating challenging computer AI. The author explains how to emit particle effects, play sound and music files, use sprite sheets, load or save high-score tables and handle different device resolutions. Finally you will learn how to monetize your games so you can generate revenue.

Autodesk Inventor 2023 Cookbook. A guide to gaining advanced modeling and automation skills for design engineers through actionable recipes

Alexander Bordino

Autodesk Inventor is an industry-leading, computer-aided design application for 3D mechanical design, simulation, visualization, and documentation. This book will help to bridge the gap between the fundamentals of this software and the more advanced features, workflows, and environments it has to offer.Using cookbook-style recipes, you’ll gain a comprehensive understanding and practical experience in creating dynamic 3D parts, assemblies, and complete designs. You’ll also explore a variety of topics, including automation and parametric techniques, collaboration tools, creating sheet metal designs, and design accelerators such as frame generators. As you progress, the chapters will guide you through surface modeling tools, advanced assembly, and simplification tools, along with covering iLogic, Finite Element Analysis, and more.By the end of this book, you’ll not only be able to use the advanced functionality within Autodesk Inventor but also have the practical experience you need to deploy specific techniques in your own projects and workflows.

SAP HANA Cookbook. Your all-inclusive guide to understanding SAP HANA with practical recipes with over 50 recipes

Chandrasekhar Mankala (USD), Ganesh Mahadevan V., Ganesh Mahadevan (USD)

SAP HANA is a real-time applications platform that provides a multi-purpose, in-memory appliance. Decision makers in the organization can gain instant insight into business operations. Thus all the data available can be analysed and you can react to the changing business conditions rapidly to make decisions. The real-time platform not only empowers business users and top management to make decisions but also provides the capability to make decisions in real-time.A practical and comprehensive guide that helps you understand the power of SAP HANA’s real-time and in-memory capabilities. It also provides step-by-step instructions to exploit all the possible features of the SAP HANA database, enabling users to harness the full potential of this technology and its features.You will gain an understanding of real-time replications, effective data loading from various sources, how to load data, and how to create re-usable objects such as models and reports.Use this practical guide to enable or transform your business landscape by implementing SAP HANA to meet your business requirements. The book shows you how to load data from different types of systems, create models in SAP HANA, and consume data for decision-making. The book covers various tools at different stages creating models using SAP HANA Studio, and consuming data using reporting tools such as SAP BusinessObjects, SAP Lumira, and so on . This book also explains the in-depth architecture of SAP HANA to help you understand SAP HANA as an appliance, that is, a combination of hardware and software.The book covers the best practices to leverage SAP HANA’s in-memory technology to transform data into insightful information. It also covers technology landscaping, solution architecture, connectivity, data loading, and setting up the environment for modeling purpose (including setup of SAP HANA Studio).If you have an intention to start your career as SAP HANA Modeler, this book is the perfect start. 

Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

In this book, you'll embark on a comprehensive journey through the fundamentals of linear algebra, a critical component for any aspiring machine learning expert. Starting with an introductory overview, the course explains why linear algebra is indispensable for machine learning, setting the stage for deeper exploration. You'll then dive into the concepts of vectors and matrices, understanding their definitions, properties, and practical applications in the field.As you progress, the course takes a closer look at matrix decomposition, breaking down complex matrices into simpler, more manageable forms. This section emphasizes the importance of decomposition techniques in simplifying computations and enhancing data analysis. The final chapter focuses on principal component analysis, a powerful technique for dimensionality reduction that is widely used in machine learning and data science. By the end of the course, you will have a solid grasp of how PCA can be applied to streamline data and improve model performance.This course is designed to provide technical professionals with a thorough understanding of linear algebra's role in machine learning. By the end, you'll be well-equipped with the knowledge and skills needed to apply linear algebra in practical machine learning scenarios.