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Glocalising Approaches to Learning and Teaching English

This volume focuses on glocalization in English language teaching and learning, examining the challenges of its implementation. It describes the innovative practices of multilingual TESOL practitioners fr…

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Daniel Almeida
Teachers: Learning to Bridge the Reading Gap

The landscape of teaching, learning, and literacy is woven with intricate threads. Teachers grapple with diverse learners, each with unique backgrounds, strengths, and challenges. The traditional notion o…

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Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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Katharina Rietig
Innovative Social Sciences Teaching and Learning

This book offers novel insights into how students can develop a personal growth mindset during their degree programs that allows them to view new challenges as opportunity to grow personally, reflect on t…

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Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody
Reinforcement Learning for Cyber Operations

A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligen…

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Dalia Chakrabarty
Learning in the Absence of Training Data

This book introduces the concept of bespoke learning , a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.…

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Titilope Adegbemle
Learning to Read with Vowels and Phonics

Help your kids to learn to read vowels and phonics. Learning to Read with Vowels and Phonics is a literacy book created to teach children how to read. It focuses on vowels, phonics, letter blending, and …

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these…

lieferbar ab 9.7.2025.

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

Applied Machine Learning for Data Science Practitioners Vidya Subramanian A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning…

lieferbar ab 29.4.2025.

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Ben Wilson
Debating in Teaching and Learning English

"Debating is a well-known method of dialogic speaking and is widely practiced, intercontinentally and across diverse cultural boundaries, to develop interaction, negotiation, agreeing and disagreeing in T…

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Innovation in Language Learning and Teaching

This book investigates the ways in which new developments in areas of language teaching practice, such as policy-making, planning, methodology and the use of educational technology are locally adopted, ad…

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Innovation in Language Learning and Teaching

This book investigates the ways in which new developments in areas of language teaching practice, such as policy-making, planning, methodology and the use of educational technology are locally adopted, ad…

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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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Claudia Simone Antonello, Fabiano Larentis
Knowledge and Learning in Organizations

This book explores the notion of knowing-in-practice to unravel the formation of academic managers' knowing in a community university. It considers the unique socio-historical context and institutional in…

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Yong Zhou, Yinan Zou, Youlong Wu, Yuanming Shi
Machine Learning for Low-Latency Communications

Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission l…

lieferbar in mind. 4 Wochen

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Elisa Bertino, Sonam Bhardwaj, Fabrizio Cicala, Sishuai Gong
Machine Learning Techniques for Cybersecurity

This book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the drama…

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Sarah Horrod
Learning and Teaching in Higher Education

This book explores the discourses in learning and teaching policy in UK higher education, traces how these ideas are recontextualised at institutional level and reveals the differences between policy disc…

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Innovation in Language Learning and Teaching

This book presents a unique perspective from an underrepresented region in the Global South. The volume features four different countries in the region: Barbados, Guyana, St. Lucia, and Trinidad and Tobag…

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Lihong Cao, Sancheng Peng
Textual Emotion Classification Using Deep Broad Learning

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network s…

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Shuguang Cui, Mingzhe Chen
Communication Efficient Federated Learning for Wireless Networks

This book provides a comprehensive study of Federated Learning (FL) over wireless networks. It consists of three main parts: (a) Fundamentals and preliminaries of FL, (b) analysis and optimization of FL o…

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