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Badham J: Becoming an Agent-Based
Modeller

Becoming an Agent-Based Modeller

Theory and Practice of Building Agent-Based Models in the Social Sciences

Machine Learning For Dummies

Data-Driven Modeling

Hypocrisy++: On Philosophy Of Probability And Sociology Of Ideologies

Human Machine Integration in Industry 5.0

Digital Twin and Digital Triplet Technologies

Methods for Ecocritical Art History

Deep Learning in Computer Vision

This timely and relevant guide for early career researchers was born out of the pandemic era as a series of talks initiated by Professor Andy Hor. As an experienced mentor of the leading research organization in Singapore, his wisdom and practical advice cover a broad range of essential topics, including grantsmanship, collaboration, lab setup, winning awards, building networks, and achieving impact.The lighthearted tone makes concepts easily digestible, with short, manageable sections. Interactive elements, such as the 'Food for thought' segments, encourage readers to reflect and apply the ideas discussed, enhancing their learning experience.Unlike traditional academic texts, this book offers a casual reading experience, yet remains a valuable resource not just for early career researchers but also for seasoned professionals seeking to refresh their approach and stay motivated. It is designed to be a supportive companion for researchers to help them navigate the complexities of achieving their scientific success and professional goals.

Kickstarter Guide To Research, A: Lunchtime Conversations With Andy

Critical Approaches and Innovations in Language Teacher Education

This book explores the value and affordances of critical autoethnography, an established qualitative research methodology, for the construction of language teachers' professional identities. Bedrettin Yazan responds to calls in recent scholarship for the incorporation of practitioners in the construction of their own professional knowledge and identities, the use of narrative as a tool for knowledge generation and identity construction, and the integration of identity as an explicit goal in language teacher education practices. He showcases examples of teacher candidates' autoethnographic work from three different groups of language teacher candidates in two university-based teacher education programmes. Through the narration and analysis of the researchers' own stories, the author discusses the potential of autoethnographic activity for the reconceptualization of language teachers as active agents in their own professional learning. He also discusses how these methodological procedures might be enriched by collaboration with colleagues, by potentially writing collaborative autoethnographies.

Critical Autoethnography in Language Teacher Education

Efficient Signal Processing Solutions

Deep Learning Meets FPGA

Distributed Computing and Intelligent Data Analytics

Concepts, Applications and Case Studies

Decision Intelligence

This unique compendium develops a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. It introduces the key elements of a parametric statistical model: likelihood, prior, and posterior, and show how to use them to make predictions.The book covers classical techniques such as multiple regression and the Kalman filter in a clear, accessible style that has been popular with students, but also includes detailed treatments of state-of-the-art models, highlighting tree-based methods, support vector machines and kernel methods, deep learning, and reinforcement learning. Theories are supplemented by real-world examples.This reference text is useful for undergraduate, graduate and even PhD students in quantitative finance, and also to practitioners who are facing the reality that data science and machine learning are disrupting the industry.

Statistical Machine Learning With Applications In Finance

Becoming an Agent-Based Modeller

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