World Design for 2D Action-Adventures: Level Design Practices by Christopher W. Totten, Adrian Sandoval
Requirements: .PDF reader, 22.5 MB | True PDF
Overview: Award-winning action-adventure designers Christopher Totten and Adrian Sandoval guide you on a quest to create levels for different styles of 2D action-adventure games, from top-down dungeon-crawler adventures to side-scrolling non-linear “Metroidvania” titles. Blending theory and practical analysis, this book shows how principles of game and level design are applied in some of your favorite 2D action-adventure games. It uses examples from popular games such as The Legend of Zelda and Hollow Knight, while also providing insights from the authors’ own experiences creating independent games in the genre.
This book also intersperses these examples with practical exercises in 2D action-adventure world design using the free and easy-to-use GB Studio engine, allowing readers to practice their skills and see how lessons from the theory chapters apply in real game development environments. These practical chapters cover the basics of using GB Studio and related software, such as Aseprite and Tiled, to help readers create their own action-adventure characters, monsters, quest systems, switches, keys, and other mechanics – all the way up to designing their own dungeon!
World Design for 2D Action-Adventures will be of great interest to all those looking to improve their level design skills within this genre.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/7p796
https://filespayout.com/gn2wvy7uxqqe/Wo … ndoval.pdf
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Category: Tech & Devices
Download Game AI Uncovered: Volume Three by Paul Roberts (.PDF)
Game AI Uncovered: Volume Three by Paul Roberts
Requirements: .PDF reader, 27.9 MB | True PDF
Overview: Game AI Uncovered: Volume Three continues the series with another collection of chapters from 18 of the top game AI professionals and researchers, from around the world. Each chapter includes wisdom, ideas, tips, and tricks that were used in the development of video games.
The techniques discussed in these pages cover the underlying development of a wide array of published titles, including Watch Dogs: Legion, City of Gangsters, Eve: Valkyrie, Firefall, The Persistence, Advance Soccer, Alpha Beta Gunner, and Luna Abyss.
Contained within this volume are insights that cover a host of different areas within game AI, including vehicle AI, simulating social norms, AI spawning fundamentals, pathfinding, creation of characters using components, animation‑driven behaviour, tactical positioning in football, automated testing, abstract pattern matching, and machine learning for games.
Beginners in the area of game AI, along with professional developers, will find a wealth of knowledge that will not only help in the development of their own games but also spark ideas for new approaches.
This volume includes chapters written by Dr Allan Bruce, Anubha Banerjee, Bruno Rebaque, Dale Green, David Wooldridge, Eric S. Le Saux, Greg Irwin, Jason Lok Heng Chin, Johan Holthausen, John Reynolds, Mathias Siemonsmeier, Michele Condò, Dr Nic Melder, Paul Roberts, Phil Carlisle, Richard Bull, Robert Zubek, and Tobias Karlsson.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/EJ45OPI
https://filespayout.com/dvbwr0wf39wc/Ga … s_Dent.pdf
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Requirements: .PDF reader, 27.9 MB | True PDF
Overview: Game AI Uncovered: Volume Three continues the series with another collection of chapters from 18 of the top game AI professionals and researchers, from around the world. Each chapter includes wisdom, ideas, tips, and tricks that were used in the development of video games.
The techniques discussed in these pages cover the underlying development of a wide array of published titles, including Watch Dogs: Legion, City of Gangsters, Eve: Valkyrie, Firefall, The Persistence, Advance Soccer, Alpha Beta Gunner, and Luna Abyss.
Contained within this volume are insights that cover a host of different areas within game AI, including vehicle AI, simulating social norms, AI spawning fundamentals, pathfinding, creation of characters using components, animation‑driven behaviour, tactical positioning in football, automated testing, abstract pattern matching, and machine learning for games.
Beginners in the area of game AI, along with professional developers, will find a wealth of knowledge that will not only help in the development of their own games but also spark ideas for new approaches.
This volume includes chapters written by Dr Allan Bruce, Anubha Banerjee, Bruno Rebaque, Dale Green, David Wooldridge, Eric S. Le Saux, Greg Irwin, Jason Lok Heng Chin, Johan Holthausen, John Reynolds, Mathias Siemonsmeier, Michele Condò, Dr Nic Melder, Paul Roberts, Phil Carlisle, Richard Bull, Robert Zubek, and Tobias Karlsson.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/EJ45OPI
https://filespayout.com/dvbwr0wf39wc/Ga … s_Dent.pdf
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Download Machine Learning in Multimedia by Suman Kumar Swarnkar (.ePUB)+
Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence by Suman Kumar Swarnkar, Annu Sharma, J. Somasekar, Bharat Bhushan
Requirements: .ePUB, .PDF reader, 15.5 MB
Overview: This book explores the interdisciplinary nature of Machine Learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing (NLP), and audio signal processing. Whether you’re a seasoned researcher, a curious student, or a practitioner looking to leverage the power of AI, this book is designed to provide you with a deep dive into the intersection of multimedia and Machine Learning. Throughout the chapters, we explore the foundational principles of Machine Learning, delving into algorithms, models, and techniques tailored specifically to multimedia data. From image classification and object detection to speech recognition and audio processing, each topic is meticulously crafted to provide both theoretical insights and practical implementations. Moreover, this book goes beyond mere technical discussions. We delve into real-world case studies and applications, showcasing how Machine Learning is revolutionizing industries and reshaping the way we interact with multimedia content. This book will be helpful to Computer Science, Data Science, and Artificial Intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of Machine Learning.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/BV04QB
https://ouo.io/sVUjU2
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Requirements: .ePUB, .PDF reader, 15.5 MB
Overview: This book explores the interdisciplinary nature of Machine Learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing (NLP), and audio signal processing. Whether you’re a seasoned researcher, a curious student, or a practitioner looking to leverage the power of AI, this book is designed to provide you with a deep dive into the intersection of multimedia and Machine Learning. Throughout the chapters, we explore the foundational principles of Machine Learning, delving into algorithms, models, and techniques tailored specifically to multimedia data. From image classification and object detection to speech recognition and audio processing, each topic is meticulously crafted to provide both theoretical insights and practical implementations. Moreover, this book goes beyond mere technical discussions. We delve into real-world case studies and applications, showcasing how Machine Learning is revolutionizing industries and reshaping the way we interact with multimedia content. This book will be helpful to Computer Science, Data Science, and Artificial Intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of Machine Learning.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/BV04QB
https://ouo.io/sVUjU2
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Download AI-Assisted Programming for Web Learning by Christoffer Noring (.ePUB)
AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot by Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu
Requirements: .ePUB reader, 19 mb
Overview: AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.
Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code.
Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases.
The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.
Genre: Non-Fiction > Tech & Devices
• Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT
• Use an AI-assisted approach across the development lifecycle
• Implement prompt engineering techniques in the data science lifecycle
• Develop the frontend and backend of a web application with AI assistance
• Build machine learning models with GitHub Copilot and ChatGPT
• Refactor code and fix faults for better efficiency and readability
• Improve your codebase with rich documentation and enhanced workflows
Download Instructions:
https://frdl.to/gu5on9wnkfn6/AI-Assiste … g.rar.html
Mirror:
https://tbit.to/vy8iunk8e2y1/AI-Assiste … .epub.html
Trouble downloading? Read This.
Requirements: .ePUB reader, 19 mb
Overview: AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.
Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code.
Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases.
The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.
Genre: Non-Fiction > Tech & Devices
• Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT
• Use an AI-assisted approach across the development lifecycle
• Implement prompt engineering techniques in the data science lifecycle
• Develop the frontend and backend of a web application with AI assistance
• Build machine learning models with GitHub Copilot and ChatGPT
• Refactor code and fix faults for better efficiency and readability
• Improve your codebase with rich documentation and enhanced workflows
Download Instructions:
https://frdl.to/gu5on9wnkfn6/AI-Assiste … g.rar.html
Mirror:
https://tbit.to/vy8iunk8e2y1/AI-Assiste … .epub.html
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Download CCNA Certification Study Guide, 2E by Todd Lammle, Donald Robb (.ePUB)
CCNA Certification Study Guide, 2nd Edition by Todd Lammle, Donald Robb (Sybex Study Guide)
Requirements: .ePUB reader, 22 mb and 38 mb
Overview: Your comprehensive guide to succeeding on the UPDATED CCNA Certification exam
Genre: Non-Fiction > Tech & Devices
In the newly revised second edition of the CCNA Certification Study Guide Volume 1: Exam 200-301 v1.1, celebrated Cisco educator and network guru Todd Lammle and expert Donald Robb deliver an intuitive and efficient roadmap to the challenging CCNA Certification test. The updated Study Guide covers many topics, including network fundamentals and access, IP connectivity and services, security fundamentals, automation, programmability, artificial intelligence, and more.
The CCNA Certification Study Guide comes with complementary access to a robust set of online study tools designed to assess and advance your exam readiness.
In the newly revised second edition of the CCNA Certification Study Guide – Volume 2: Exam 200-301 v1.1, renowned Cisco educator and network engineer Todd Lammle and Donald Robb deliver a practical and effective test prep and roadmap to the challenging CCNA Certification exam. Volume 2 of the updated Study Guide covers objectives for network fundamentals and access, IP connectivity and services, security fundamentals, automation, programmability, artificial intelligence, and more.
You’ll also learn about topics like network device security, IPv6, QoS, wireless technologies, wireless controllers, automation, and REST APIs. The CCNA Certification Study Guide comes with one year of free access after activation to a robust set of online study tools designed to assess and advance your exam readiness.
Download Instructions:
Volume 1:
https://frdl.to/7a53shj4vlvk/CCNA_Certi … .epub.html
https://tbit.to/pilx0dd0vifi/CCNA_Certi … .epub.html
Volume 2:
https://frdl.to/n8s6394a08cu/CCNA_Certi … .epub.html
https://tbit.to/4r2vqliu39yj/CCNA_Certi … .epub.html
Trouble downloading? Read This.
Requirements: .ePUB reader, 22 mb and 38 mb
Overview: Your comprehensive guide to succeeding on the UPDATED CCNA Certification exam
Genre: Non-Fiction > Tech & Devices
In the newly revised second edition of the CCNA Certification Study Guide Volume 1: Exam 200-301 v1.1, celebrated Cisco educator and network guru Todd Lammle and expert Donald Robb deliver an intuitive and efficient roadmap to the challenging CCNA Certification test. The updated Study Guide covers many topics, including network fundamentals and access, IP connectivity and services, security fundamentals, automation, programmability, artificial intelligence, and more.
The CCNA Certification Study Guide comes with complementary access to a robust set of online study tools designed to assess and advance your exam readiness.
In the newly revised second edition of the CCNA Certification Study Guide – Volume 2: Exam 200-301 v1.1, renowned Cisco educator and network engineer Todd Lammle and Donald Robb deliver a practical and effective test prep and roadmap to the challenging CCNA Certification exam. Volume 2 of the updated Study Guide covers objectives for network fundamentals and access, IP connectivity and services, security fundamentals, automation, programmability, artificial intelligence, and more.
You’ll also learn about topics like network device security, IPv6, QoS, wireless technologies, wireless controllers, automation, and REST APIs. The CCNA Certification Study Guide comes with one year of free access after activation to a robust set of online study tools designed to assess and advance your exam readiness.
Download Instructions:
Volume 1:
https://frdl.to/7a53shj4vlvk/CCNA_Certi … .epub.html
https://tbit.to/pilx0dd0vifi/CCNA_Certi … .epub.html
Volume 2:
https://frdl.to/n8s6394a08cu/CCNA_Certi … .epub.html
https://tbit.to/4r2vqliu39yj/CCNA_Certi … .epub.html
Trouble downloading? Read This.