Learning-adjustedyearofschooling – Bücher, CDs, LPs und mehr, Seite 5

William H Pruden Iii

Remote Learning and Distance Education

Remote learning and distance education burst into the national consciousness with the onset of the COVID-19 pandemic - yet it remains poorly understood in many ways. Explore a range of debates around this…

Positioning and Navigation Using Machine Learning Methods

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs…

Teaching and Learning in the Generative Artificial Intelligence Age

This book brings together contributions from prominent researchers investigating the changes in teaching, learning, and assessment with and beyond generative artificial intelligence (GenAI). These chapter…

Marcos M López de Prado

Machine Learning for Asset Managers

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should conce…

Jack Tempchin

Learning To Dance

Jonathan Kplorla Agbeh, Ola Uduku, Christian Benimana, Dawoffice

Learning Ecologies in Architecture

Learning Ecologies in Architecture, edited by Deen Sharp, explores how exemplary educational buildings actively shape, and are shaped by, their ecological contexts through processes of translation, resear…

Technology Driven Language Learning: Innovations and Applications

This edited volume brings together a collection of studies on the use of multimedia in language education, exploring its affordances and challenges in various settings. Split into thematic sections explor…

Jodi Emma Wainwright, Ursula Stickler,

Language Learning Later in Life

Language Learning Later in Life explores how acquiring a new language can promote healthy aging. Authored by leading experts in applied linguistics, education, and aging studies, this comprehensive volume…

Xiyuan Ma, Desheng Wu

Financial Fraud Detection Using Machine Learning

Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models…

Machine Learning in Astronomy (IAU S368)

Today's astronomical observatories are generating more data than ever, from surveys to deep images. Machine learning methods can be a powerful tool to harness the full potential of these new observatories…

The Pretenders

Learning To Crawl (Expanded Edition)

Learning to Crawl wurde 1984 veröffentlicht und ist das dritte Album der Pretenders. Es enthält Schlüsseltitel wie »Back on the Chain Gang«, »Middle of the Road« und »2000 Miles«. 40 Jahre später wurde da…

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

François Chollet, Tomasz Kalinowski

Deep Learning with R, Third Edition

Deep learning from the ground up using R and the powerful Keras library!Deep Learning with R, Third Edition introduces deep learning from scratch with examples that use the R language and the Keras librar…

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…

Deep Learning Theory and Applications

.- End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition..- Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles..- A Fast Fourier Transform-Aided D…

Becky Willis

7 Steps to Better Learning Engagement

Motivate and Engage Learners to Drive Your Business ForwardOrganizations that prioritize employee learning are best positioned to thrive in our rapidly evolving business landscape. Veteran learning strate…

Durai Rajamanickam

Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

Philosophy of Science for Machine Learning

This open access book offers a comprehensive and systematic debate on the key concepts and areas of application of the philosophy of science for machine learning. The current landscape of the debate about…

Cultural Tasks for Digital Language Learning

Explaining how the cultural practices of a community can be used as the vehicle for learning its language, this book shows how two apps have been developed to deliver language learning while users are car…