The Pocket Mentor for Game Production
Want to work as a producer in the video games industry? Then this is the book for you. This book provides all the essential information and guidance you need to understand the industry and get your foot on the ladder.
Probabilistic Graphical Models
Foundations of Probabilistic Graphical Models: Provide a comprehensive introduction to probabilistic graphical models (PGMs), including their purpose, fundamental concepts, and types (e.g., Bayesian networks, Markov networks). Discuss the representation of complex probability distributions and dependencies using graphical structures.Graph Theory and Probability Foundations: Explore the underlying graph theory and probability principles essential for understanding PGMs. Cover topics such as nodes, edges, directed and undirected graphs, conditional independence, and joint probability distributions. Provide insights into how these principles are used to model real-world problems.Applications and Case Studies: Examine the applications of PGMs in various domains such as machine learning, computer vision, natural language processing, and bioinformatics. Provide case studies and examples to illustrate how PGMs are used to solve practical problems and make predictions based on complex data.
Designing ICT Around Food Practices in the Digital Age
Adopting Artificial Intelligence Tools in Higher Education
This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. It examines the integration of various AI tools within higher education, discussing the challenges and opportunities they present and the innovative solutions they offer.The chapters explore various issues surrounding the use of AI in higher education and propose potential solutions. The book begins with a systematic exploration of AI's potential, presenting innovative ways to ensure fair and accurate assessments that enhance the overall quality of education. It highlights the benefits of AI-powered grading systems that streamline assessment processes, provide timely feedback, and promote fair evaluations. The text discusses how machine learning algorithms can revolutionize assessment methods, allowing individualized, adaptive testing tailored to each student's unique needs. Furthermore, it examines Natural Language Processing (NLP) techniques for evaluating student essays by analyzing linguistic features such as grammar and semantic coherence. Moreover, it highlights AI-powered virtual assistants offering personalized feedback and learning recommendations. Case studies illustrate successful AI assessment implementations and methods for improving AI-based evaluations. The book also addresses engagement and success in the post-COVID-19 context. It raises concerns about plagiarism and academic integrity, comparing AI solutions to traditional methods while exploring the challenges associated with adopting AI in education. Educators, administrators, academics, and technology experts working in institutes of higher learning will find this volume compelling. It is also suitable for students taking courses in educational technology, e-learning, and digital learning.
Adopting Artificial Intelligence Tools in Higher Education
This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. It examines the integration of various AI tools within higher education, discussing the challenges and opportunities they present and the innovative solutions they offer.The chapters explore various issues surrounding the use of AI in higher education and propose potential solutions. The book begins with a systematic exploration of AI's potential, presenting innovative ways to ensure fair and accurate assessments that enhance the overall quality of education. It highlights the benefits of AI-powered grading systems that streamline assessment processes, provide timely feedback, and promote fair evaluations. The text discusses how machine learning algorithms can revolutionize assessment methods, allowing individualized, adaptive testing tailored to each student's unique needs. Furthermore, it examines Natural Language Processing (NLP) techniques for evaluating student essays by analyzing linguistic features such as grammar and semantic coherence. Moreover, it highlights AI-powered virtual assistants offering personalized feedback and learning recommendations. Case studies illustrate successful AI assessment implementations and methods for improving AI-based evaluations. The book also addresses engagement and success in the post-COVID-19 context. It raises concerns about plagiarism and academic integrity, comparing AI solutions to traditional methods while exploring the challenges associated with adopting AI in education. Educators, administrators, academics, and technology experts working in institutes of higher learning will find this volume compelling. It is also suitable for students taking courses in educational technology, e-learning, and digital learning.
Face It
As animation software becomes more advanced and graphics become more refined, the opportunity to create informative detail becomes more achievable in your characters. You can't give every character the same facial contours anymore. Today's graphic engines and hi-definition screens enhance detail, and the features in your character can make or break the believability of your game or movie.Face It provides you with the resources that you need to ensure an accurate character model. By examining the skulls of people of different ages, ethnicities, and geographical areas, authors Patricia Beckmann-Wells and Scott Wells showcase the intricacies of the human head and face and show you how to apply that to your models.The Second Edition features new and updated tutorials as well as a new chapter discussing facial variation over time. Whether it be a Caucasian woman in her 50s or an African man in his late 20s, you'll know how to properly shape a forehead, an eye socket, and even cheekbones to ensure the 100% accuracy of your 3D character.
Get Into Game Dev
Get Into Game Dev: Tech Interview Tactics is a crash-course on how to pass a game development technical interview. It's designed to guide intermediate and experienced coders through the depth and rigor necessary to land some of the most highly sought-after roles within interactive media.Unlike generic interview-prep books, GIGD maintains a laser-focus on game development to directly prepare candidates for roles like technical designer and gameplay engineer. Topics include 3D maths, programming fundamentals, and software design patterns. The author provides high quality instruction and practice problems based on his experience as a professional instructor and developer.Key Features: Includes an extensive set of practice questions taken from interviews of leading game development studios. Synthesizes coding and maths fundamentals into focused instruction, directly applicable to game development. Culminates in a rigorous practice test, designed to identify a reader's weaknesses and guide them along the path to mastery. Uses a variety of mnemonics to assist readers in memorizing subject matter. Provides example worked solutions for readers to compare against their own problem-solving approaches. This book does not teach game development. Instead, it provides knowledge and instruction for a developer to achieve the technical mastery necessary to become a professional game developer.
Advanced Network Technologies and Computational Intelligence
Advanced Network Technologies and Computational Intelligence
Microsoft 365 Excel Formulas & Functions for Dummies
Turn Excel into an unstoppable data-and number-crunching machine Microsoft Excel is the Swiss Army knife of apps. With over 470 built-in functions and countless custom formulas, the program can help make you the smartest guy or gal in any room. And now that it's been supercharged with Copilot--Microsoft's AI-powered helper--it's even easier to produce accurate and useful results anywhere, anytime. Best of all, it doesn't take an advanced degree in mathematics or data science to take full advantage of Excel's functionality. Just grab a copy of this latest edition of Excel Formulas & Functions For Dummies and get a flying start on the Excel functions and formulas that power up your data superpowers. With this book, you'll: Learn to create and use hundreds of formulas and functions, correct common mistakes, and make calculations Discover how to analyze data and calculate statistics, and even work with dates and times Use the ever-evolving, AI-powered Copilot to expand Excel's functionality and make it easier to use Get ready to transform your copy of Excel at home or at work into an unstoppable toolkit equipped for almost any occasion. Grab a copy of Excel Formulas & Functions For Dummies today!