Learning Methods – alle Bücher und LPs, Seite 5

Automation 2024: Advances in Automation, Robotics and Measurement Techniques

This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal…

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Modeling and Optimization of Signals Using Machine Learning Techniques

Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing.Model…

lieferbar in mind. 4 Wochen

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinform…

lieferbar in mind. 4 Wochen

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Sydney Marie Simone Curtis, Victoria Desimoni, Max Crumley-Effinger, Florin D. Salajan
The Technological-Industrial Complex and Education

This Pivot book looks at the ways in which disruptive technologies, datafication, and Artificial Intelligence (AI) are shaping Comparative and International (CIE) Education and leading to its platformizat…

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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 8.11.2025.

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Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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Emerging Challenges in Intelligent Management Information Systems

This book contains the second volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial In…

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Davi-Ellen Chabner
Medical Terminology: A Short Course

Quickly build a working medical vocabulary with Chabner's Medical Terminology: A Short Course, 10th Edition! Based on Davi-Ellen Chabner's proven learning method, this streamlined text helps you master th…

lieferbar ab 2.2.2026.

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Machine Learning in Water Treatment

Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cut…

lieferbar ab 21.10.2025.

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Jesse van Griensven The, Jose Rosas-Bustos, Roydon Andrew Fraser
Quantum Computing and Quantum Machine Learning for Engineers and Developers

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how thes…

lieferbar ab 5.10.2025.

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Yves Hilpisch
Reinforcement Learning for Finance

Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman …

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Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

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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 …

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AI for Brain Lesion Detection and Trauma Video Action Recognition

This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during …

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How to use 3D Printing Innovations and Digital Storage to Democratize Anatomy Education

This edited book contains chapters that describe bespoke three-dimensional (3D) printing aimed at democratizing anatomy education by providing open-source scans for download and printing as 3D models. The…

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Daria Gabryanczyk
Polish for Dummies

A fun, one-stop resource for Polish language beginnersGet started with Polish the fun and easy way with Polish For Dummies, an engaging guide to one of the most fascinating languages in the world. In this…

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Mathematical Descriptors of Molecules and Biomolecules

This book provides an up-to-date overview of data driven and evidence-based empirical approaches in the efficient application of chemodescriptors and biodescriptors. Currently there is a steady increase i…

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Data Analytics and Management in Data Intensive Domains

This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2023, held in Moscow, Russia, during 24-2…

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