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Advancements in Machine Learning

This CCIS 2538 volume constitutes the proceedings of First and Second International Conference on Advancements in Machine Learning, ICCAML 2024, in Pune, India, during February 28--29, 2024.The 19 full pa…

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Deep Learning in Ad-Hoc Wireless Networks

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By c…

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Paul Fearnhead, Christopher Nemeth, Chris J. Oates
Scalable Monte Carlo for Bayesian Learning

An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-…

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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 batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 30.11.2025.

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Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce
Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

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Machine Learning Applications in Medicine and Biology

This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the li…

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Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design o…

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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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The Depression Project
Learning the Language of Depression

An enlightening resource to overcome depression's "language barrier"A "language barrier" often exists between people with depression and those around them, in the sense that many words…

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Maria J Cabrera-Puche
Learning a New Language for Dummies

Proven tips for making a new language stickLearning a new language takes practice, motivation, and patience. Learning a New Language For Dummies helps you make sure all that practice pays off, with expert…

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Natalya Carrier
Unconventional truth about learning engagement in Tech

In Unconventional truth about learning engagement in tech, Natalya Carrier uncovers how people find fulfilment in companies committed to learning, sharing, purpose and resilience. The author offers guidan…

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Yolanda Ruiz De Zarobe
Content and Language Integrated Learning (CLIL)

Content and Language Integrated Learning (CLIL) is an educational approach that combines the teaching of subject content with language learning. Originally developed in Europe, CLIL has since been adopted…

lieferbar ab 30.11.2025.

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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Learning to Teach in a New Era

Learning to Teach in a New Era provides a positive, future-oriented approach to preparing preservice and beginning teachers to teach and to embrace the rewarding aspects of working in the educational sphe…

lieferbar ab 31.12.2025.

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Matthew Guzdial, Adam Summerville, Sam Snodgrass
Procedural Content Generation via Machine Learning

This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content …

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Quantum Machine Learning in Industrial Automation

1.Quantum Machine Learning for Cost Variance Analysis in Industrial Manufacturing Processes: A Computational Breakthrough.- 2.Enhanced Optimization-Quantum Machine Learning.- 3.Industrial Automation and C…

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N. M. Anoop Krishnan, Ravinder Bhattoo, Hariprasad Kodamana
Machine Learning for Materials Discovery

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for application…

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Artificial Intelligence and Machine Learning

This book constitutes the refereed proceedings of the 35th Benelux Conference on Artificial Intelligence and Machine Learning, BNAIC/Benelearn 2023, held in Delft, The Netherlands, during November 8¿10, 2…

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Wen Stephenson
Learning to Live in the Dark

In these hard-hitting and deeply personal essays, Nation writer and veteran activist Wen Stephenson traces his search for resolve in the face of our converging climate and political catastrophes. After t…

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Dk
Disney Learning Big Workbook Grade 2

Develop Grade 2 math and English skills with your favorite Disney and Pixar characters!Get your child ready for Grade 2 math and English with Disney Learning: My Big Workbook Grade 2 . Perfect for kids en…

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