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The black swan: the impact of the highly improbable

The theory of information and coding : v. 86

How to prove it: a structured approach

How to prove it: a structured approach

Strongly Regular Graphs : 182

Machine Learning for Engineers: Principles and Algorithms Through Signal Processing and Information Theory

Mathematics for Future Computing and Communications

Compound Renewal Processes : 184

Complexity Science: The Study of Emergence

The Science of Deep Learning

An Introduction to Symbolic Dynamics and Coding

Machine Learning: A First Course for Engineers and Scientists

Entropy and Diversity: The Axiomatic Approach

Distributed Source Coding: Theory and Practice

Distributed Source Coding: Theory and Practice

Practical signals theory with MATLAB applications

Signal processing and networking for big data applications

Game Theory for Next Generation Wireless and Communication Networks: Modeling, Analysis, and Design

Game Theory for Next Generation Wireless and Communication Networks: Modeling, Analysis, and Design

Quantum Internet: The Second Quantum Revolution

Machine learning fundamentals: a concise introduction

Lattice Coding for Signals and Networks: A Structured Coding Approach to Quantization, Modulation and Multiuser Information Theory

Lattice coding for signals and networks: a structured coding approach to quantization, modulation, and multiuser information theory

Probability: The Classical Limit Theorems

Probability: the classical limit theorems

Principles of Cyber-Physical Systems: An Interdisciplinary Approach

Future of National Infrastructure: A System-of-Systems Approach

The future of national infrastructure: a system-of-systems approach

Principles of Statistical Analysis: Learning from Randomized Experiments

The Science of Deep Learning

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