Machine To Machine Learning (M2M) – alle Bücher, CDs und LPs, Seite 3

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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 innerhalb 2-3 Wochen

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

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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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Haipeng Gao, Ari Joury, Weining Shen, Guanyu Hu
Soccer Analytics with Machine Learning

Struggling to grasp machine learning concepts or unsure how to apply them in the real world? This book aims to change that by using the world's most popular game--soccer--to illuminate key concepts in pre…

Erscheint bald

Buch

Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop an…

lieferbar innerhalb 1-2 Wochen

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Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

"Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1".- " Introduction to Intelligent Systems".- "2. The Evolution of Artificial Intelligence".…

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Gordana Jovanovic Dolecek
MATLAB Random Signals and Processes Primer

This book offers a clear and intuitive approach to the world of random signals and processes, relating them with fundamental statistics and machine learning techniques---all through the lens of MATLAB. It…

lieferbar ab 3.6.2026.

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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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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 30.4.2026.

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

SpringerBriefs in Bioengineering

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 13.1.2026.

Buch

Hugh Howey
Machine Learning

A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy Hugh Howey …

lieferbar innerhalb 2-3 Wochen

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Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AIMachine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfor…

lieferbar ab 7.2.2026.

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Jason Edwards
Adversarial Machine Learning

Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromisedAdversarial Machine Learning is a definitive guide to one of the most urgent chal…

lieferbar ab 12.2.2026.

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Informed Machine Learning

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use case…

lieferbar innerhalb 2-3 Wochen

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Tomaz Bratanic, Oskar Hane
Essential Graphrag

Upgrade your RAG applications with the power of knowledge graphs.Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM's training…

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Guglielmo Iozzia
Domain-Specific Small Language Models

Bigger isn't always better. Train and tune highly focused language models optimized for domain specific tasks.When you need a language model to respond accurately and quickly about a specific field of kno…

lieferbar ab 17.3.2026.

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

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Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

lieferbar innerhalb 2-3 Wochen

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Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode …

lieferbar innerhalb 2-3 Wochen

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