Machine Learning-based Indoor Localization – alle Bücher, Seite 2

Philipp Grunert
No-Code Data Science

mitp Professional

Vollständige Data-Science- und Machine-Learning-Projekte ohne Programmierung umsetzen - mit der Open-Source-Software KNIMEPraxisnahe Datenanalyse-Workflows entlang des bewährten CRISP-DM-Prozesses entwick…

lieferbar ab 31.7.2026.

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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…

lieferbar innerhalb 1-2 Wochen

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Laurence Moroney,
PyTorch für KI und ML

Animals

PyTorch kompetent nutzen, KI-Modelle erfolgreich bauenEin praxis- und codeorientierter Guide für Python-Entwickler*innenAnwendungen mit KI und ML entwickeln, ohne fortgeschrittene Mathematik- oder Theorie…

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Rainer Hattenhauer
Programmieren lernen mit KI

Einfach Programmieren lernen - mit Unterstützung von ChatGPT & Co.Möchtest du Programmieren lernen , scheust aber davor zurück, komplizierte Programmiersprachen zu erlernen? Dann ist dieses Buch genau…

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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 innerhalb 2-3 Wochen

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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…

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Stefan Papp, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Bietet einen umfassenden Überblick über die verschiedenen Anwendungsbereiche von Data Science und KIMit Fallbeispielen aus der Praxis, um die beschriebenen Konzepte greifbar zu machenMit praktischen Beisp…

lieferbar ab 12.6.2026.

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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 Data Without L…

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Marc Scheufen, Armin Mertens
Datenbearbeitung und -visualisierung mit R

Einführung.- Daten bearbeiten und strukturieren mit tidyverse.- Daten visualisieren mit ggplot.- Weiterführende Visualisierungen mit ggplot, gganimate, stargazer und sf für Geodaten.- Einführung in simula…

lieferbar innerhalb 2-3 Wochen

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Sanad Aburass, Ibrahim Aljarah
Classical Machine Learning

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation sy…

lieferbar ab 13.10.2026.

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Machine Learning Systems

This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and relat…

lieferbar ab 7.8.2026.

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Scientific Machine Learning

This volume gathers peer-reviewed papers from the workshop Scientific Machine Learning: Emerging Topics, held at SISSA in Trieste, Italy. The event gathered leading researchers in mathematics, algorithms,…

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Dino Esposito, Francesco Esposito
Introducing Machine Learning

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Din…

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Human-Centered Machine Learning

This collection of articles and interviews surveys human-centered approaches to machine learning that can make AI more human-friendly, usable, and ethical. It provides a handbook for students, researchers…

lieferbar ab 31.7.2026.

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Pedagogies of Machine Learning

The fourth edition of Schools of Departure is devoted to the use of technology in post-Bauhaus design education: in the second half of the twentieth century, universities and research institutions were sw…

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Mohamed El-Geish, Shabaz Patel, Anand Sampat
Shipping Machine Learning Systems

This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often…

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Social Internet of Things (SIoT) and Machine Learning-Enhancing Interconnectivity and Intelligence

This book offers readers an innovative perspective on how intelligent networks can evolve beyond simple device-to-device communication, enabling social interaction, adaptive learning, and predictive intel…

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Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

lieferbar innerhalb 1-2 Wochen

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Machine Learning for Networking

Lecture Notes in Computer Science - Band 15540

.- Learning per-flow SD-WAN load-balancing policies. .- Survey on Federated Learning in Smart Healthcare. .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues. .- A …

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Christophe Gaillac, Jeremy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

lieferbar in mind. 4 Wochen

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