Machine Learning Techniques – alle Bücher, Seite 2

Advances in Nonlinear Dynamics, Volume I

This volume aims to present the latest advancements in experimental, analytical, and numerical methodologies aimed at exploring the nonlinear dynamics of diverse systems across varying length and time sca…

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Wilson Tsakane Mongwe, Tshilidzi Marwala, Rendani Mbuvha
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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Bachman
Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities

Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities explores cutting-edge methods for identifying speaker states using diverse data inputs. Beyond traditional e…

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Machine Learning for Econometrics and Related Topics

In the last decades, machine learning techniques - especially techniques of deep learning - led to numerous successes in many application areas, including economics. The use of machine learning in economi…

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Aznarul Islam, Sadik Mahammad
Palaeochannels and Water Resource Management

This book characterizes palaeochannels and their hydrological properties in the Western Bengal Delta (Damodar Fan Delta) to help understand palaeochannel development, with the goal of better informing sus…

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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 2.5.2026.

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Pattern Recognition

This book constitutes the proceedings of the 17th Mexican Conference on Pattern Recognition, MCPR 2025, held in Guanajuato, Mexico, during June 25--28, 2025.The 36 full papers presented in this volume wer…

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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics…

lieferbar ab 10.12.2025.

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Security, Privacy, and Applied Cryptography Engineering

This book constitutes the refereed proceedings of the 14th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2024, held in Kottayam, India, during December 14-17, …

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Machine Learning for Networking

.- 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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Shixia Liu, Jun Yuan, Junpeng Wang, Weikai Yang
Visualization for Artificial Intelligence

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization ca…

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Machine Learning for Drone-Enabled IoT Networks

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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Vijayakumar P
Data Mining & Warehousing Tech Machine Learning Concepts

This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data w…

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Smart and Secure Embedded and Mobile Systems

A Machine Learning Internet of Agro Things (IoAT) -Adaptive Smart Cloud Farming System for Small-Scale Farmers in Tanzania.- Barriers to Using Open Data in the Innovation Process.- The IoT Based Newborn R…

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¿Ukasz Pawlik
R Applications in Earth Sciences

This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticate…

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Dan Zhu, Xuemin Shen (Sherman), Dengguo Feng
Privacy-Preserving Techniques with e-Healthcare Applications

This book investigates novel accurate and efficient privacy-preserving techniques and their applications in e-Healthcare services. The authors first provide an overview and a general architecture of e-Hea…

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Artificial Intelligence in Microbiology

Due to their high predictive and informative potential, machine learning and deep learning have emerged as essential tools to advance microbiome research. This book provides insights and research findings…

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Manas Gaur, Amit P Sheth
Knowledge-Infused Learning

Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook …

lieferbar ab 31.1.2026.

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Andreas Tilevik
Multivariate Statistics and Machine Learning in R For Beginners

This book is more than just a book -- it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers read…

lieferbar ab 28.12.2025.

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Robotics Goes MOOC

It is often read in the media that AI and Robotics are the primary cause of technology unemployment. AI and machine learning techniques are expected to take over lower-level tasks, while humans can spend …

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