![]() The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The use of AI in personalized recommendations and chatbots is discussed in detail. It then explores the role of AI in marketing, advertising, and tourism. The book begins with an overview of AI in business and its impact on the workforce. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.Īrtificial Intelligence for Business: An Implementation Guide Containing Practical and Industry-Specific Case StudiesĪrtificial intelligence (AI) is transforming the business world at an unprecedented pace. These technologies will enable systems to be simulative, predictive, and self-operating smart systems. ![]() The valuable features in the book include but not limited to: demonstration of mathematical expressions for implementation of machine learning models, integration of learning techniques, and projection of future AI and IoT technologies. The rich multidisciplinary contents of the book promise to leave all users satisfied. This book is designed to provide rich research hub for researchers, teachers, and students to ease research hassle/challenges. The book is rich and comprehensive enough to provide answers to frequently asked research questions because the content of the book touches several disciplines cutting across computing, engineering, medicine, education, and sciences in general. Machine Learning and the Internet of Things in Education: Models and Applications #development #software #students #projects #architecture #change #film ![]() It also includes an overview of Integrators, providing further context for modern RenderMan® programmable shading. It explores the mathematical models of representative Bxdfs while drawing parallels, when helpful, to earlier RSL implementations. Essential Guide to RenderMan® Shading Plugin Development specifically addresses writing RenderMan® C++ materials. Because of this, writing Bxdfs now requires knowledge of Monte Carlo integration, probability density functions, and the RenderMan® C++ API. This change has necessitated the use of C++ plugins in place of the RenderMan Shader Language (RSL). RenderMan® 21, and all subsequent versions, use Monte Carlo path tracing. It has been used for every Pixar film to date and numerous other projects. RenderMan® is an industry standard for rendering software. The main goal of the book is to enable technical artists, hobbyists, and students in using the noncommercial (NCR), free RenderMan® edition. Understand the fundamentals of Bxdf plugins for RenderMan® 21+, both the technical details and API architecture. Essential Guide to RenderMan® Shading Plugin Development: Understanding Bxdfs
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |