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The science of deep learning

Elements of information theory

Fundamentals of classical and modern error-correcting codes

Machine learning : a first course for engineers and scientists

Machine learning refined : foundations, algorithms, and applications

Complexity science : the study of emergence

A first course in network science

The quantum internet : the second quantum revolution

Inference and learning from dataVolume 2,: Inference

The fundamentals of heavy tails : properties, emergence, and estimation

Inference and learning from dataVolume 3,: Learning

Introduction to digital communications

Time series for data scientists : data management, description, modeling and forecasting

Information theoretic perspectives on 5G systems and beyond

Inference and learning from data

A vision for dynamics in the 21st century : the legacy of Anatole Katok

Primer for Data Analytics and Graduate Study in Statistics

Modeling business processes : a petri net-oriented approach

Inference and learning from dataVolume 1,: Foundations

Digital signal processing : principles and applications

Analytic information theory : from compression to learning

Model checking quantum systems : principles and algorithms

An Introduction to Single-User Information Theory

Misbelief : what makes rational people believe irrational things

The Physical Signature of Computation : A Robust Mapping Account

Knowledge Dissemination for Multimedia Traffic

Modeling of complex processes and systems : an integrated approach from measurement to cognition

Mapping information landscapes : new methods for exploring the development and teaching of information literacy

Rational Points on Elliptic Curves

Designing information : human factors and common sense in information design

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