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Data Science - From Theory to Practice

Produktinformationen "Data Science - From Theory to Practice"

This volume presents selected papers from the "From Theory to Practice (T2P)" Workshop in Data Science held at the African Institute for Mathematical Sciences (AIMS) in Kigali, Rwanda. Written by experts from academia and industry, it aims to showcase cutting-edge developments and interdisciplinary approaches in data science. Topics covered include artificial intelligence, machine learning, statistics, quantum machine learning, and computational engineering. The volume will serve as a valuable reference for researchers, practitioners, and students looking to explore the latest trends and contributions in this evolving domain. Inhaltsverzeichnis Performance Analysis of Convolutional Neural Network Models for Breast Cancer Diagnosis.- Bellman operator convergence enhancements in reinforcement learning algorithms.- Investigating Higher-Order Connectivity for Epidemic Spread.
Seiten: 387
Sprache: englisch

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