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Data-driven science and engineering : machine learning, dynamical systems, and control

Linear algebra for data science, machine learning, and signal processing

Signals, systems and signal processing

Fundamentals of classical and modern error-correcting codes

Machine learning : a first course for engineers and scientists

Machine learning refined : foundations, algorithms, and applications

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Inference and learning from dataVolume 3,: Learning

Introduction to digital communications

Information theoretic perspectives on 5G systems and beyond

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Inference and learning from dataVolume 1,: Foundations

Digital signal processing : principles and applications

Scalability, density, and decision making in cognitive wireless networks

Compressive imaging : structure, sampling, learning

A foundation in digital communication

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Communication networks : an optimization, control and stochastic networks perspective

Random matrix methods for machine learning

Mathematical foundations of infinite-dimensional statistical models

Foundations of MIMO communication

Graph spectra for complex networks

Motion deblurring : algorithms and systems

S-parameters for signal integrity

Signal processing algorithms for communication and radar systems

Information-theoretic methods in data science

Wireless physical layer network coding

Information theoretic security and privacy of information systems

Signal processing and networking for big data applications

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