Learning – Bücher, CDs, LPs und mehr, Seite 8

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…

Artificial Intelligence and Machine Learning

The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, …

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…

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…

Sustainability Learning for Action and Community Engagement

This open access volume is a call to action and a toolbox for educators, administrators, community engagement specialists, and workforce developers who want to make their course content, institutional com…

Tariq M Arif

Deep Learning on Embedded Systems

Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available softwareDeep Learning on Embedded Systems is a comprehensi…

Immersive Learning Research Network

.- Foundations in Immersive Learning Research and Theory: .- Exploring Space and Non-Verbal Interaction in Instructional Design in Immersive Collaborative Learning. .- Physiological and Psychological Resp…

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-…

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…

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…

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…

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…

Jack Tempchin

Learning To Dance

Ann Jackson

Learning AI Tools in Tableau

This insightful guide takes you through the integration of Tableau Pulse and Einstein Copilot, explaining their roles within the broader Tableau and Salesforce ecosystems. Author Ann Jackson, an esteemed …

N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo

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…

Deep Learning for Personalized Healthcare Services

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop…

Receptive Ecumenism as Transformative Ecclesial Learning

Receptive Ecumenism asks not what other churches can learn from us, but 'what can we learn and receive with integrity from our ecclesial others?' Since the publication of Receptive Ecumenism and the Call …

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…

Mashallah Rezakazemi, Kiran Mustafa, Rao Muhammad Mahtab Mahboob

Machine Learning for Membrane Separation Applications

Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As…