Enterprise Transformation to Artificial Intelligence and the Metaverse. Strategies for the Technology Revolution: Navigating Future Technologies with Agility and Innovation

Mercury Learning and Information, William Kimmerly

This book guides organizations in effectively responding to the metaverse, a rapidly converging collection of advanced technologies, methods, and models. The metaverse is poised to be as disruptive as the personal computer, Internet, and smartphone, impacting personal, social, professional, and business lives. The book covers essential metaverse technologies and concepts, helping organizational leaders plan their transformation strategies.The journey begins with an introduction and key definitions, followed by the evolution of IT governance and responses to disruptive technologies. It delves into AI, machine learning, blockchain, platforms, algorithms, edge computing, quantum computing, and immersive technologies like VR, AR, MR, and XR. Further chapters explore holographic technologies, deep tech, and other metaverse-related technologies, along with organizational structures and governance frameworks for the metaverse era.Understanding these concepts is crucial for navigating the metaverse transformation. The book concludes with a detailed hypothetical case study, illustrating how such a transformation can be achieved. This resource helps executives and professionals chart an effective course to the metaverse, blending theoretical insights with practical applications.

Classic Game Design. From Pong to Pac-Man with Unity: Crafting Timeless Retro Games with Expert Techniques

Mercury Learning and Information, Franz Lanzinger

This book teaches you to design and develop classic arcade video games. Using modern, free software tools like Unity, you’ll create five retro games inspired by the classics. All source code, art, and sound files are provided in the companion files. You'll enjoy customizing graphics, adjusting scoring, coding AI, and creating sound effects, gaining a deep understanding of the roots of modern video game design from the '70s and '80s.The course begins with an introduction and essential tools, then guides you through creating various retro games. Each chapter builds on the previous one with detailed instructions, exercises, and classic game design rules. The book includes historical anecdotes from a former Atari programmer and insights on applying classic game design concepts to modern games.Understanding these design elements is crucial for developing engaging video games. This book transitions readers from beginners to proficient game developers, blending theoretical knowledge with practical skills. Companion files enhance the learning experience, making this book an invaluable resource for mastering classic game design with modern tools.

TensorFlow 2 Pocket Primer. A Quick Reference Guide for TensorFlow 2 Developers

Mercury Learning and Information, Oswald Campesato

As part of the best-selling *Pocket Primer* series, this book introduces beginners to basic machine learning algorithms using TensorFlow 2. It provides a fast-paced introduction to TensorFlow, covering core features and machine learning basics with Python code samples. An appendix includes Keras-based code samples and explores MLPs, CNNs, RNNs, and LSTMs. The chapters illustrate how to solve various tasks, encouraging further reading to deepen your knowledge.The journey begins with an introduction to TensorFlow 2, followed by essential APIs and datasets. You'll explore linear regression and classifiers, learning to apply TensorFlow to practical problems. The comprehensive appendix covers advanced topics like NLPs and deep learning architectures, enhancing your understanding of machine learning.Understanding these concepts is crucial for modern AI applications. This book transitions readers from basic TensorFlow use to advanced machine learning techniques, blending theory with practical examples. Companion files with source code and figures enhance learning, making this an essential resource for mastering TensorFlow and machine learning.

Angular and Deep Learning Pocket Primer. A Comprehensive Guide to AI and Expert Systems for Professionals

Mercury Learning and Information, Oswald Campesato

As part of the Pocket Primer series, this book introduces basic deep learning concepts and integrates them into Angular 10 applications. It offers a fast-paced introduction to deep learning features and popular classifiers. Covering Angular 10 functionality, deep learning concepts, and key classification algorithms, the book includes code samples and figures. Topics such as TensorFlow and Keras are also explored.The book begins with an introduction to AI and its applications, followed by state space search and heuristic search strategies. You will delve into expert systems, their development life cycle, knowledge acquisition, and representation. These topics lead to a deeper understanding of neural networks, the learning process, and fuzzy logic systems, ensuring a comprehensive grasp of AI and deep learning principles.Understanding these concepts is essential for developing sophisticated AI applications and enhancing Angular 10 projects. This book transitions you from a novice to a proficient developer, equipped with practical skills and knowledge. Advanced topics like fuzzy expert systems and logic programming are covered, culminating in advanced Prolog. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating deep learning with Angular 10.

Natural Language Processing and Machine Learning for Developers. A Practical Guide to Advanced Techniques and Applications of NLP

Mercury Learning and Information, Oswald Campesato

This book introduces developers to basic concepts in NLP and machine learning, providing numerous code samples to support the topics covered. The journey begins with introductory material on NumPy and Pandas, essential for data manipulation. Following this, chapters delve into NLP concepts, algorithms, and toolkits, providing a solid foundation in natural language processing.As you progress, the book covers machine learning fundamentals and classifiers, demonstrating how these techniques are applied in NLP. Practical examples using TF2 and Keras illustrate how to implement various NLP tasks. Advanced topics include the Transformer architecture, BERT-based models, and the GPT family of models, showcasing the latest advancements in the field.The final chapters and appendices offer a comprehensive overview of related topics, including data and statistics, Python3, regular expressions, and data visualization with Matplotlib and Seaborn. Companion files with source code and figures ensure a hands-on learning experience. This book equips you with the knowledge and tools needed to excel in NLP and machine learning.

Applying Artificial Intelligence in Project Management. Harness the power of AI to transform project management practices

Mercury Learning and Information, Paul Boudreau

Artificial intelligence is reshaping the way projects are managed, offering unprecedented opportunities to improve efficiency, accuracy, and outcomes. This course begins with an introduction to AI’s role in project management, exploring how machine learning, natural language processing, and predictive algorithms can transform traditional approaches. You’ll learn about the key components of AI-driven projects and how to develop a strong business case for adopting these innovations.As you progress, the course delves into practical applications of AI in automating project tasks, analyzing data, and predicting results. Participants will gain hands-on experience with tools that leverage machine learning to forecast project success, improve productivity, and resolve potential failures. Additionally, you’ll discover how generative AI and large language models can enhance communication, planning, and decision-making throughout the project lifecycle.Finally, the course examines the broader implications of integrating AI into project management. You’ll explore strategies for acquiring AI solutions, implementing them within teams, and navigating the ethical challenges they present. By the end of the course, participants will have a clear understanding of how to leverage AI to optimize projects and stay competitive in a rapidly evolving technological landscape.

Computer Concepts and Management Information Systems. A Comprehensive Guide to Modern Computing and Information Management

Mercury Learning and Information, C. P. Gupta, K. K. Goyal

This book provides a self-teaching introduction to computer fundamentals and management information systems (MIS). It covers hardware components, software applications, Microsoft Office, information systems, ERP, CRM, security, business ethics, and cybercrime. The goal is to make these complex subjects accessible and easy to understand.The course begins with basic computer concepts, followed by an introduction to software. It then offers detailed information on Microsoft Office, covering Excel, Word, PowerPoint, and Access. The journey continues with a deep dive into MIS, exploring its applications, ERP systems, security measures, business ethics, and the challenges of cybercrime.Understanding these concepts is crucial for navigating the digital world and leveraging technology in business. This book transitions readers from beginners to knowledgeable users, blending theoretical insights with practical skills. Companion files with source code examples and figures enhance the learning experience, making this book an invaluable resource for mastering computers and MIS.

Game Testing. Mastering the Art of Quality Assurance in Game Development

Mercury Learning and Information, Robert Denton Bryant

This updated fourth edition is your comprehensive guide to video game testing. Whether you're a student aspiring to join the industry or a professional honing your skills, this book covers essential aspects of game testing. It explains how testers fit into development and provides practical knowledge of tools, roles, responsibilities, and metrics for game quality.The book guides you through test design and QA methods using real game scenarios and interviews with veteran developers. You'll learn the basics of game testing, writing bug reports, and defect tracking. The chapters cover exploratory testing, gameplay testing, combinatorial testing, and regression testing.Each chapter includes questions and exercises, suitable for classroom or personal study. Companion files with templates and tutorials for creating combinatorial tables and test flow diagrams are included, forming the basis of a robust QA plan. This edition equips you with the skills to succeed in game testing and contribute effectively to any development team.