Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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The Mathematics of Machine Learning : Lectures on Supervised Methods and Beyond
Maria Han Veiga
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AutomationML : A Practical Guide
Rainer Drath
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Add to BasketCommunication in Vehicles : Cultural Variability in Speech Systems
Brion van Over
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Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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Pattern Recognition : Introduction, Features, Classifiers and Principles
Jurgen Beyerer
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Data Science in Chemistry : Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
Thorsten Gressling
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Bitcoin: A Game-Theoretic Analysis
Micah Warren
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Add to BasketMathematics of Deep Learning : An Introduction
Leonid Berlyand
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Mathematics of Deep Learning : An Introduction
Leonid Berlyand
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