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Soyeon Caren Han, Henry Weld, Yan Li, Jean Lee
Natural Language Understanding in Conversational AI with Deep Learning

This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancem…

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Convergence of AI, Federated Learning, and Blockchain for Sustainable Development

This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, a…

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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how dist…

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Jc Penet, Joss Moorkens, Masaru Yamada
Teaching translation in the age of generative AI : New paradigm, new learning?

Since the launch of OpenAI's ChatGPT in 2022, generative artificial intelligence (GenAI) has started reshaping what it means to work as a professional translator in an industry that is becoming increasing…

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Mario Donick
Fliegen lernen

Fliegen fasziniert Menschen seit Angedenken. Seit es Computer gibt, versuchen Menschen das Fliegen am Computer nachzustellen - zur Ausbildung, aber auch zur Unterhaltung und um hinter die Geheimnisse der …

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Digital Education: Shaping Sustainable Lifelong Learning for All in the Era of AI

This open access book constitutes the proceedings of the 9th European MOOCs Stakeholders Summit, EMOOCs 2025, which took place in Paris, France, during June 30-July 2, 2025.The 20 full papers included in …

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Data Protection

This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data pr…

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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Arun Gupta
The New Manufacturing Value Chain

We are in the early stages of a transformational period in our economic and digital age that will revolutionize the manufacturing value chain. As this period progresses, there will be opportunities to opt…

lieferbar in mind. 4 Wochen

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Laurence Moroney
AI and ML for Coders in PyTorch

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for progra…

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Suhas Pai
Designing Large Language Model Applications

Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged app…

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Brent Laster
Learning GitHub Copilot

Supercharge your coding productivity with generative AI using GitHub Copilot. In this practical guide, author Brent Laster guides you through using generative AI for writing better code faster, generating…

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Leemay Nassery
AI Model Evaluation

De-risk AI models, validate real-world performance, and align output with product goals.Before you trust critical business systems to an AI model, you need to answer a few questions. Will it be fast enoug…

lieferbar ab 28.4.2026.

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Aurélien Géron
Hands-On Machine Learning with Scikit-Learn and PyTorch

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set an…

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Omar Sanseviero, Pedro Cuenca, Apolinario Passos, Jonathan Whitaker
Hands-On Generative AI with Transformers and Diffusion Models

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fi…

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Alex Bueno, Markus Eisele, Natale Vinto
Applied AI for Enterprise Java Development

As a Java enterprise developer or architect, you know that embracing AI isn't just optional--it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groun…

lieferbar in mind. 4 Wochen

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Ryan Day
Hands-On APIs for AI and Data Science

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data scie…

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Tiny Machine Learning: Design Principles and Applications

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and developmentIn Tiny Machine Learning: Design Principles and Applications, a te…

lieferbar ab 11.12.2025.

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Steven W Knox
Machine Learning

New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-sideMachine Learning is a co…

lieferbar ab 4.2.2026.

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Daniel Costea
Building AI Agents in .Net

Build AI applications that integrate multiple models, data sources, and other components using Microsoft Agent Framework.Even simple AI applications need to combine LLMs and other models, functions and pl…

lieferbar ab 19.5.2026.

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