Ai Blueprints

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AI Blueprints

Author : Dr. Joshua Eckroth
Publisher : Packt Publishing Ltd
ISBN 13 : 1788997972
Total Pages : 251 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis AI Blueprints by : Dr. Joshua Eckroth

Download or read book AI Blueprints written by Dr. Joshua Eckroth and published by Packt Publishing Ltd. This book was released on 2018-12-31 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential blueprints and workflow you need to build successful AI business applications Key FeaturesLearn and master the essential blueprints to program AI for real-world business applicationsGain insights into how modern AI and machine learning solve core business challengesAcquire practical techniques and a workflow that can build AI applications using state-of-the-art software librariesWork with a practical, code-based strategy for creating successful AI solutions in your businessBook Description AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment. The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success. The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses. This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code. What you will learnAn essential toolbox of blueprints and advanced techniques for building AI business applicationsHow to design and deploy AI applications that meet today’s business needsA workflow from first design stages to practical code solutions in your next AI projectsSolutions for AI projects that involve social media analytics and recommendation enginesPractical projects and techniques for sentiment analysis and helpful chatbotsA blueprint for AI projects that recommend products based on customer purchasing habitsHow to prepare yourself for the next decade of AI and machine learning advancementsWho this book is for Programming AI Business Applications provides an introduction to AI with real-world examples. This book can be read and understood by programmers and students without requiring previous AI experience. The projects in this book make use of Java and Python and several popular and state-of-the-art opensource AI libraries.

Machine Learning and Data Science Blueprints for Finance

Author : Hariom Tatsat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 432 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Machine Learning and Data Science Blueprints for Finance by : Hariom Tatsat

Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

Artificial Intelligence and The Environment

Author : Cindy Mason
Publisher :
ISBN 13 : 9781733524803
Total Pages : 180 pages
Book Rating : 4.5/5 (248 download)

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Book Synopsis Artificial Intelligence and The Environment by : Cindy Mason

Download or read book Artificial Intelligence and The Environment written by Cindy Mason and published by . This book was released on 2020-07-07 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume reports 16 AI projects on engineering sustainability using AI, Machine Learning, Signal Processing, Databases and other Technologies (Hybrid AI). Sixty scientists contribute to the volume on ‘Boots on the Ground’ topics including fire fighting, forestry sustainability, flood prediction, algae bloom prediction, water pollution prediction, sewage treatment, recycling and resource consumption. There are also ‘Data, Data Everywhere’ topics including biodiversity cataloguing, plant physiology and climate modeling, forest ecosystem modelling, satellite data aggregation and viewing and weather forecasting. The contributions of each team of scientists, AI researchers and engineers has been assembled with a set of helpful questions and answers called “Classroom Connection” at the end of each chapter. The existence of this book serves to document the AI projects in existence and some of the people who have been actively working to create sustainability using AI. Inside you’ll find many examples of hybrid AI - systems so complex, they need every AI trick in the book to solve them, and then some. The book is presented at the 2019 U.N. Climate Summit in Madrid Spain."--Publisher's description.

The Intelligent Blueprint: Leveraging Generative AI for Enterprise Architecture

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 57 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Intelligent Blueprint: Leveraging Generative AI for Enterprise Architecture by : Anand Vemula

Download or read book The Intelligent Blueprint: Leveraging Generative AI for Enterprise Architecture written by Anand Vemula and published by Anand Vemula. This book was released on 2023-10-30 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handy Book for Generative AI in Enterprise Architecture

AI 2012: Advances in Artificial Intelligence

Author : Michael Thielscher
Publisher : Springer
ISBN 13 : 3642351018
Total Pages : 917 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis AI 2012: Advances in Artificial Intelligence by : Michael Thielscher

Download or read book AI 2012: Advances in Artificial Intelligence written by Michael Thielscher and published by Springer. This book was released on 2013-02-01 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Australasian Joint Conference on Artificial Intelligence, AI 2012, held in Sydney, Australia, in December 2012. The 76 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers address a wide range of agents, applications, computer vision, constraints and search, game playing, information retrieval, knowledge representation, machine learning, planning and scheduling, robotics and uncertainty in AI.

Blueprints Visual Scripting for Unreal Engine 5

Author : Marcos Romero
Publisher : Packt Publishing Ltd
ISBN 13 : 180181869X
Total Pages : 568 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Blueprints Visual Scripting for Unreal Engine 5 by : Marcos Romero

Download or read book Blueprints Visual Scripting for Unreal Engine 5 written by Marcos Romero and published by Packt Publishing Ltd. This book was released on 2022-05-02 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the faster way to build games using UE5 Blueprints using this practical guide with key images printed in color Key Features Design a fully functional game in UE5 without writing a single line of code Implement visual scripting to develop gameplay mechanics, UI, visual effects, VR, and artificial intelligence Deploy your game on multiple platforms and share it with the world Book DescriptionUnreal Engine's Blueprint visual scripting system enables designers to script their games and programmers to create base elements that can be extended by designers. With this book, you'll explore all the features of the Blueprint Editor, along with expert tips, shortcuts, and best practices. The book guides you through using variables, macros, and functions, and helps you learn about object-oriented programming (OOP). You'll discover the Gameplay Framework and advance to learning how Blueprint Communication allows one Blueprint to access information from another Blueprint. Later chapters focus on building a fully functional game step by step. You'll start with a basic first-person shooter (FPS) template, and each chapter will build on the prototype to create an increasingly complex and robust game experience. You'll then progress from creating basic shooting mechanics to more complex systems such as user interface elements and intelligent enemy behavior. The book demonstrates how to use arrays, maps, enums, and vector operations and introduces the elements needed for VR game development. In the final chapters, you’ll learn how to implement procedural generation and create a product configurator. By the end of this book, you'll have learned how to build a fully functional game and have the skills required to develop an entertaining experience for your audience.What you will learn Understand programming concepts in Blueprints Create prototypes and iterate new game mechanics rapidly Build user interface elements and interactive menus Use advanced Blueprint nodes to manage the complexity of a game Explore all the features of the Blueprint editor, such as the Components tab, Viewport, and Event Graph Get to grips with OOP concepts and explore the Gameplay Framework Work with virtual reality development in UE Blueprint Implement procedural generation and create a product configurator Who this book is for This book is for anyone interested in developing games or applications with UE5. Although basic knowledge of Windows OS is required, experience in programming or UE5 is not necessary.

Blueprints for Text Analytics Using Python

Author : Jens Albrecht
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492074039
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Blueprints for Text Analytics Using Python by : Jens Albrecht

Download or read book Blueprints for Text Analytics Using Python written by Jens Albrecht and published by "O'Reilly Media, Inc.". This book was released on 2020-12-04 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for classification, topic modeling, and summarization Explain AI models and classification results Explore and visualize semantic similarities with word embeddings Identify customer sentiment in product reviews Create a knowledge graph based on named entities and their relations

Blueprints Visual Scripting for Unreal Engine

Author : Brenden Sewell
Publisher : Packt Publishing Ltd
ISBN 13 : 1785285092
Total Pages : 188 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Blueprints Visual Scripting for Unreal Engine by : Brenden Sewell

Download or read book Blueprints Visual Scripting for Unreal Engine written by Brenden Sewell and published by Packt Publishing Ltd. This book was released on 2015-07-28 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blueprints Visual Scripting for Unreal Engine is a step-by-step approach to building a fully functional game, one system at a time. Starting with a basic First Person Shooter template, each chapter will extend the prototype to create an increasingly complex and robust game experience. You will progress from creating basic shooting mechanics to gradually more complex systems that will generate user interface elements and intelligent enemy behavior. Focusing on universally applicable skills, the expertise you will develop in utilizing Blueprints can translate to other types of genres. By the time you finish the book, you will have a fully functional First Person Shooter game and the skills necessary to expand on the game to develop an entertaining, memorable experience for your players. From making customizations to player movement to creating new AI and game mechanics from scratch, you will discover everything you need to know to get started with game development using Blueprints and Unreal Engine 4.

Blueprints Visual Scripting for Unreal Engine

Author : Marcos Romero
Publisher : Packt Publishing Ltd
ISBN 13 : 1789348420
Total Pages : 366 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Blueprints Visual Scripting for Unreal Engine by : Marcos Romero

Download or read book Blueprints Visual Scripting for Unreal Engine written by Marcos Romero and published by Packt Publishing Ltd. This book was released on 2019-08-23 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's note: This edition from 2019 is based on Unreal Engine 4 and does not make use of the most recent Unreal Engine features. A new third edition, updated for Unreal Engine 5 blueprints including new topics, such as implementing procedural generation and creating a product configurator, has now been published. Key FeaturesDesign a fully functional game in UE4 without writing a single line of codeImplement visual scripting to develop gameplay mechanics, UI, visual effects, VR and artificial intelligenceDeploy your game on multiple platforms and share it with the worldBook Description Blueprints is the visual scripting system in Unreal Engine that enables programmers to create baseline systems and can be extended by designers. This book helps you explore all the features of the Blueprint Editor and guides you through using Variables, Macros, and Functions. You'll also learn about object-oriented programming (OOP) and discover the Gameplay Framework. In addition to this, you'll learn how Blueprint Communication allows one Blueprint to access information from another Blueprint. Later chapters will focus on building a fully functional game using a step-by-step approach. You'll start with a basic first-person shooter (FPS) template, and each chapter will build on the prototype to create an increasingly complex and robust game experience. You'll then progress from creating basic shooting mechanics to more complex systems, such as user interface elements and intelligent enemy behavior. The skills you will develop using Blueprints can also be employed in other gaming genres. In the concluding chapters, the book demonstrates how to use arrays, maps, enums, and vector operations. Finally, you'll learn how to build a basic VR game. By the end of this book, you'll have learned how to build a fully functional game and will have the skills required to develop an entertaining experience for your audience. What you will learnUnderstand programming concepts in BlueprintsCreate prototypes and iterate new game mechanics rapidlyBuild user interface elements and interactive menusUse advanced Blueprint nodes to manage the complexity of a gameExplore all the features of the Blueprint editor, such as the Components tab, Viewport, and Event GraphGet to grips with object-oriented programming (OOP) concepts and explore the Gameplay FrameworkLearn Virtual Reality development with UE BlueprintWho this book is for This book is for anyone who is interested in developing games or applications with UE4. Although basic knowledge of Windows OS is required, experience in programming or UE4 is not necessary.

Hands-On Artificial Intelligence with Unreal Engine

Author : Francesco Sapio
Publisher : Packt Publishing Ltd
ISBN 13 : 1788831640
Total Pages : 537 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Hands-On Artificial Intelligence with Unreal Engine by : Francesco Sapio

Download or read book Hands-On Artificial Intelligence with Unreal Engine written by Francesco Sapio and published by Packt Publishing Ltd. This book was released on 2019-04-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. If you want to use AI to extend the play-life of your games and make them more challenging and fun, this book is for you. It will help you break down AI into simple concepts to give you a fundamental understanding of each of the topics.

Business Modeling and Software Design

Author : Boris Shishkov
Publisher : Springer Nature
ISBN 13 : 3030523063
Total Pages : 395 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Business Modeling and Software Design by : Boris Shishkov

Download or read book Business Modeling and Software Design written by Boris Shishkov and published by Springer Nature. This book was released on 2020-07-06 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Symposium on Business Modeling and Software Design, BMSD 2020, which took place in Berlin, Germany, in July 2020. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. The theme of BMSD 2020 was: Towards Knowledge-Driven Enterprise Information Systems.

Proceedings of the HCT International General Education Conference (HCT-IGEC 2023)

Author : Andrew Johnston
Publisher : Springer Nature
ISBN 13 : 9464632860
Total Pages : 224 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the HCT International General Education Conference (HCT-IGEC 2023) by : Andrew Johnston

Download or read book Proceedings of the HCT International General Education Conference (HCT-IGEC 2023) written by Andrew Johnston and published by Springer Nature. This book was released on 2023-12-16 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. The Higher Colleges of Technology’s General Studies Division, and the HCT-Dubai Women’s campus, hosted the HCT International General Education Conference (online edition) on October 5, 2022, under the theme of Practice and Pedagogy in General Education. General Education, in today’s hyper-connected and virtual world, plays a vital role in providing students with a range of opportunities to develop their abilities to think critically and creatively. This, in turn, fosters an innovative mindset, enriching students’ understanding of the wider social and cultural contexts in which they will live and work. Hence, the discipline of General Education provides students with much-needed breadth and depth of knowledge – from developing mathematical skills to raising awareness of sustainability issues and improving communication skills. The conference organizing committee welcomes higher education scholars, researchers and teachers from around the world to participate in the online, free-of-charge conference, by sharing teaching and learning best practices and techniques, pedagogical delivery and enhancement, current research endeavors and the optimization of student learning and engagement, in an inclusive and collaborative environment that promotes knowledge sharing and exchange, as well as networking and camaraderie. Educators and researchers from across the different academic disciplines within the field of General Education are welcome to attend and share their insights, experiences and expertise to ensure a rich and productive discussion.

Unreal Engine 4 AI Programming Essentials

Author : Peter L. Newton
Publisher : Packt Publishing Ltd
ISBN 13 : 1784396559
Total Pages : 188 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Unreal Engine 4 AI Programming Essentials by : Peter L. Newton

Download or read book Unreal Engine 4 AI Programming Essentials written by Peter L. Newton and published by Packt Publishing Ltd. This book was released on 2016-03-18 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create responsive and intelligent game AI using Blueprints in Unreal Engine 4 About This Book Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement Configure and debug Game AI logic using multiple methodologies Bridge the gap between your knowledge and Game AI in Unreal Engine 4 Who This Book Is For This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI. What You Will Learn Understand the fundamental components of Game AI within Unreal Engine 4 Skillfully introduce Game AI within Unreal Engine 4 Configure, customize, and assign Navigation and AI components to your pawn Create, debug, and analyze Game AI behavior Design responsive Game AI using the Behavior Tree methodology Create smart objects designed to interact with AI Utilize advanced AI features within your project to maximize the user experience In Detail Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game. Style and approach This easy-to-follow project-based guide throws you directly into the excitement of Game AI in an approachable and comprehensive manner.

AI SYSTEM BLUEPRINTS

Author : Kunal Miind
Publisher : BAKER & MCGILL
ISBN 13 :
Total Pages : 103 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI SYSTEM BLUEPRINTS by : Kunal Miind

Download or read book AI SYSTEM BLUEPRINTS written by Kunal Miind and published by BAKER & MCGILL. This book was released on 2022-01-02 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: "AI System Blueprints: An Introductory Guide to Building High Performance Artificial Intelligence & Machine Learning Solutions" by Kunal Miind is an exhaustive resource for those seeking a firm foundation in the ever-changing field of artificial intelligence and machine learning. The book begins with an introduction to the fundamentals of machine learning, including the various forms of learning, important algorithms, and fundamental concepts. The section then delves into vital data preparation steps such as collection, cleansing, and feature engineering. The following chapters discuss model selection and evaluation, deep learning fundamentals, natural language processing, and computer vision. The book also explores reinforcement learning's component parts and algorithms. By providing a clear and concise comprehension of these fundamental topics, Kunal Miind's book equips readers with the knowledge necessary to develop high-performance AI and machine learning solutions for practical applications.

Game Development Projects with Unreal Engine

Author : Hammad Fozi
Publisher : Packt Publishing Ltd
ISBN 13 : 1800203489
Total Pages : 823 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Game Development Projects with Unreal Engine by : Hammad Fozi

Download or read book Game Development Projects with Unreal Engine written by Hammad Fozi and published by Packt Publishing Ltd. This book was released on 2020-11-27 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the tools and techniques of game design using a project-based approach with Unreal Engine 4 and C++ Key FeaturesKickstart your career or dive into a new hobby by exploring game design with UE4 and C++Learn the techniques needed to prototype and develop your own ideasReinforce your skills with project-based learning by building a series of games from scratchBook Description Game development can be both a creatively fulfilling hobby and a full-time career path. It's also an exciting way to improve your C++ skills and apply them in engaging and challenging projects. Game Development Projects with Unreal Engine starts with the basic skills you'll need to get started as a game developer. The fundamentals of game design will be explained clearly and demonstrated practically with realistic exercises. You’ll then apply what you’ve learned with challenging activities. The book starts with an introduction to the Unreal Editor and key concepts such as actors, blueprints, animations, inheritance, and player input. You'll then move on to the first of three projects: building a dodgeball game. In this project, you'll explore line traces, collisions, projectiles, user interface, and sound effects, combining these concepts to showcase your new skills. You'll then move on to the second project; a side-scroller game, where you'll implement concepts including animation blending, enemy AI, spawning objects, and collectibles. The final project is an FPS game, where you will cover the key concepts behind creating a multiplayer environment. By the end of this Unreal Engine 4 game development book, you'll have the confidence and knowledge to get started on your own creative UE4 projects and bring your ideas to life. What you will learnCreate a fully-functional third-person character and enemiesBuild navigation with keyboard, mouse, gamepad, and touch controlsProgram logic and game mechanics with collision and particle effectsExplore AI for games with Blackboards and Behavior TreesBuild character animations with Animation Blueprints and MontagesTest your game for mobile devices using mobile previewAdd polish to your game with visual and sound effectsMaster the fundamentals of game UI design using a heads-up displayWho this book is for This book is suitable for anyone who wants to get started using UE4 for game development. It will also be useful for anyone who has used Unreal Engine before and wants to consolidate, improve and apply their skills. To grasp the concepts explained in this book better, you must have prior knowledge of the basics of C++ and understand variables, functions, classes, polymorphism, and pointers. For full compatibility with the IDE used in this book, a Windows system is recommended.

Unreal Engine 4 Virtual Reality Projects

Author : Kevin Mack
Publisher : Packt Publishing Ltd
ISBN 13 : 1789133882
Total Pages : 622 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Unreal Engine 4 Virtual Reality Projects by : Kevin Mack

Download or read book Unreal Engine 4 Virtual Reality Projects written by Kevin Mack and published by Packt Publishing Ltd. This book was released on 2019-04-30 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key problem with VR development is understanding how to set up a project and running it on your desktop or mobile VR device. With this book, you will not only learn the specifics of virtual reality development in Unreal but also build immersive and fun VR projects that can be experienced on your VR devices.

Leveraging Generative AI for Enterprise Architecture

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4./5 ( download)

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Book Synopsis Leveraging Generative AI for Enterprise Architecture by : Anand Vemula

Download or read book Leveraging Generative AI for Enterprise Architecture written by Anand Vemula and published by Anand Vemula. This book was released on 2023-08-03 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to understanding the potential of generative AI in the field of enterprise architecture, the possibilities are truly limitless. In this subchapter, we will explore how this technology can be leveraged to transform the way organizations approach their architectural design and decision-making processes. Generative AI, a subset of artificial intelligence, has the capability to generate novel ideas, designs, and solutions based on a given set of parameters and objectives. This can revolutionize the way organizations approach enterprise architecture, as it offers the ability to automate and optimize various aspects of the architectural process. In this subchapter, we will delve into the key concepts and principles of generative AI and its relevance to enterprise architecture. We will explore how this technology can be utilized to streamline the design and decision-making process, reduce time and resources, and ultimately enhance the overall effectiveness of an organization's architectural endeavors. Furthermore, we will discuss the various applications and use cases of generative AI in enterprise architecture. From creating intelligent blueprints to generating optimized architectural designs, this technology can assist architects and organizations in making informed decisions and developing innovative solutions. To fully grasp the potential of generative AI in enterprise architecture, it is crucial to understand the challenges and considerations associated with its implementation. We will address the potential limitations and risks of relying solely on generative AI, while also highlighting the importance of human expertise and collaboration in conjunction with this technology. Lastly, in this subchapter, we will provide practical guidance on how organizations can begin incorporating generative AI into their architectural processes. We will outline the steps and best practices required to successfully implement generative AI solutions, while also emphasizing the need for continuous learning and adaptation.