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Dario Cabianca
AWS Certified Machine Learning Engineer Study Guide

Prepare for the AWS Machine Learning Engineer certification exam quickly and efficientlyThe AWS^®^ Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the …

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Valueprovides a comprehensive understanding of how automation and machine learning technologies can be us…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

lieferbar innerhalb 2-3 Wochen

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John Maeda
How to Speak Machine, with a new preface by the author

A simple, enduring framework for understanding the complex world of AI and machine learning---updated with a new preface.As the capabilities of AI and language models like ChatGPT continue to advance, it …

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Alex Ruiz de Villa
Causal Inference for Data Science

From the Back Cover:Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal infer…

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Emmanuel Maggiori
The AI Pocketbook

Everything you need to know about AI to survive---and thrive---as an engineer.If you're worried about your tech career going obsolete in a world of super-powered AI, never fear. The AI Pocket Book crams e…

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Crowd Dynamics, Volume 5

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineeri…

lieferbar ab 29.10.2025.

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 30.11.2025.

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Marian Verhelst, Vikram Jain
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect o…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Richard Evans
Listening to the Music the Machines Make

Listening to the Music the Machines Make is the revolutionary story of electronic pop from 1978 to 1983, a true golden age of music.This definitive account explores how krautrock, disco, glam rock and pun…

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Brent Laster
Learning GitHub Copilot

Harness the power of generative AI in your coding with GitHub Copilot. In this practical guide, author Brent Laster explains what Copilot is, how it works, and what it can do for you. You'll learn how to …

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Edward Raff, Drew Farris, Stella Biderman
How Large Language Models Work

Learn how large language models like GPT and Gemini work under the hood in plain English.How Large Language Models Work translates years of expert research on Large Language Models into a readable, focuse…

lieferbar ab 5.8.2025.

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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

Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prot…

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Steve Wilson
The Developer's Playbook for Large Language Model Security

"Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats.…

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Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

lieferbar ab 12.10.2025.

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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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Jay Alammar, Maarten Grootendorst
Hands-On Large Language Models

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before…

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