Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so.In this s...Daugiau...
This book presents all components and knowledge sources required for Transparent Information Retrieval. Depending on the respective topic and taking care of their interoperability, both deep and shallow technol...Daugiau...
This book discusses the theory and applications of the server message block (SMB) 3 protocol used for distributed remote file access. It covers the protocol from its genesis to the present structure and the future enhancements, and includes d...Daugiau...
This monograph introduces the field of bisociative literature-based discovery (LBD) by first explaining the underlying LBD principles and techniques, followed by the presentation of bisociative LBD techniques a...Daugiau...
Master Amazon OpenSearch with this comprehensive guide, covering everything from basics to advanced techniques, and learn expert tips for efficient search and analytics Key Features Master installation, configuration, and usage...Daugiau...
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and...Daugiau...
Ši knyga nebeleidžiama, tačiau mes Jums pranešime naudoto egzemplioriaus kainą
Increasingly, large enterprises are discovering that Apache Lucene and Apache Solr can help them dramatically reduce the costs of their most challenging indexing and search applications. Now, for the first time, theres a hands-...Daugiau...
What is data and how does it fit into data science? What does the field of data science cover? What is data analysis and what skills are involved? What does data analytics refer to in the context of data analysis and data science...Daugiau...
This book covers semiconductor memory technologies from device bit-cell structures to memory array design with an emphasis on recent industry scaling trends and cutting-edge technologies. The first part of the book discusses the mainstream semicon...Daugiau...
This book discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in ap...Daugiau...
This book provides a comprehensive presentation of a recently introduced framework, named probabilistic indexing (PrIx), for searching text in large collections of document images and other related applications. It fosters the development of new...Daugiau...
This book is not a comprehensive guide; if thats what youre seeking, you may want to look elsewhere. Instead, it serves as a map, outlining the necessary tools and topics for your research journey. The goal is to build your intuition and provide...Daugiau...
This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structures, GCN...Daugiau...
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep lea...Daugiau...
This Second Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field. This topic, and fashion compatibility modeling in particu...Daugiau...
This book presents a holistic overview of user engagement, which has become an increasingly important subject for a variety of industry and academic fields, including engineering, computer science, and information science. The author begins with a...Daugiau...
This book presents the theoretical foundations of the MDATA cognitive model and its applications in the field of cybersecurity. The MDATA model is an innovative analytical tool designed to simulate and improve cognitive processes. It bridges cogni...Daugiau...
This book bridges the gap between academic and applied User Experience (UX) research, offering a fresh perspective on uniting these two communities. Drawing from their extensive professional experience in both realms, the authors delve into the va...Daugiau...
This book provides an introduction to reciprocal recommendation. It starts with theory, and then moves on to concrete examples of the most successful algorithms in the field. Researchers and developers with a little background in machine learning...Daugiau...
