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Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.57 kg
0.57 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- In the age of AI and big data, traditional databases can no longer keep up with the demands of high-dimensional, unstructured data. Vector databases—a revolutionary technology that enables semantic search, real-time recommendations, multimodal applications, and more. But how do you leverage these tools to unlock the full potential of your AI systems and data-driven applications? This book is your comprehensive guide to mastering modern vector databases. Whether you’re a developer, data scientist, or system architect, you’ll discover practical strategies and hands-on techniques to design, deploy, and optimize vector databases for a variety of real-world use cases. Packed with expert insights and actionable advice, this book will equip you to solve complex challenges in AI and big data with confidence. What’s inside:A clear introduction to vector databases and their unique role in managing high-dimensional data.Practical implementations of semantic search, recommendation systems, and multimodal AI applications.Advanced integrations with edge computing, federated learning, and knowledge graphs.Performance tuning strategies for large-scale, real-time systems.Real-world case studies in e-commerce, healthcare, IoT, media, and more.Future trends and opportunities for vector databases in AI and data science. Whether you’re optimizing an AI-driven recommendation engine, enabling semantic search in research, or building intelligent IoT systems, this book provides the tools and knowledge you need to succeed. Get your copy of Modern Vector Databases today, and build the next generation of intelligent systems.
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U$S 39,60
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