tami - Computers 1

This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It is designed as a textbook for advanced undergraduate and master’s stud……続きを見る

Focusing on the teaching of computer science in the generative A.I. (GenAI) era, the 4th edition of this Guide to Teaching Computer Science aims to contribute to the urgent effort to rethink and red……続きを見る

Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features • Implement machine learning techniques and algorithms in graph dat……続きを見る

La inteligencia artificial ha dejado de ser una promesa futura para convertirse en una realidad que transforma radicalmente el ejercicio del derecho y los sistemas judiciales. Desde la automatizació……続きを見る

Unlock tomorrow's tech revolution with quantum computing and communication. Book Description As quantum computing continues to reshape industries, learning its nuances is crucial for staying ahead i……続きを見る

This book focuses on the research and development challenges posed by 3D video systems based on multi-view plus depth (MVD) technology. This technology can produce a realistic immersive experience g……続きを見る

Complete and comprehensive manual for eliciting, defining, and managing needs and requirements, integration, verification, and validation across the lifecycle The INCOSE Needs and Requirements Manua……続きを見る

AI Unlocked: A Beginner's Guide to Transforming Your Life and Career Discover how artificial intelligence can revolutionize your life with this practical and beginner-friendly guide. AI Unlocked sim……続きを見る

Ariel Calista Miller's journey started in the vibrant heart of Las Vegas, where she was raised amidst the glitz and grit of the casino world. After graduating from UNLV, with a focus on internationa……続きを見る

Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including PyTorch Geometric and DGL Free with……続きを見る

Você está prestes a mergulhar em um universo de possibilidades transformadoras com "RPA e Hiperautomação Cases". Este é o segundo livro dedicado a explorar o poder da automação robótica de processos……続きを見る

This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book of……続きを見る

Tableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau’s Data Visualization and Storytelling feature, aspir……続きを見る

Che legame c’è tra Ada Lovelace, la geniale matematica figlia di Lord Byron, e la metamorfosi di Aracne trasformata in ragno da Atena? O tra le Supplici di Eschilo e le sei donne che hanno programma……続きを見る

Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their……続きを見る

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, dep……続きを見る

A comprehensive guide to every important component of C# and .NET 6 required to build robust enterprise web applications Key Features • Explore the advanced features of C# and .NET 6 to enhance your……続きを見る

This book explores the impact that changes brought by digitalization are having in the way global businesses are run and grown. The main changes in recent years have come from the ubiquitous presenc……続きを見る

This book is an essential introductory guide to the knowledge required to develop apps. Chapter by chapter it provides the core principles any person must understand in order to develop mobile appli……続きを見る

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge……続きを見る

Differential Transformation Method for Mechanical Engineering Problems focuses on applying DTM to a range of mechanical engineering applications. The authors modify traditional DTM to produce two ad……続きを見る

Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you fro……続きを見る

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfacesー user input involving new media (spe……続きを見る

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textboo……続きを見る

Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability,……続きを見る

The book explores contemporary selfie-taking practices; digital experiences of love, romance and infidelity; sexting rituals; self-tracking habits; strategies used by the Internet famous; and the po……続きを見る

The objective of this monograph is to improve the performance of the sentiment analysis model by incorporating the semantic, syntactic and common-sense knowledge. This book proposes a novel semantic……続きを見る

This book provides a comprehensive survey of the security and privacy research advancements in Internet of Things (IoT). The book lays the context for the discussion by introducing a system model fo……続きを見る

This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detection and diagnostics framework, and highl……続きを見る

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure……続きを見る