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Programming in Haskell

An introduction to optimization on smooth manifolds

Bayesian reasoning and machine learning

The statistical physics of data assimilation and machine learning

Fundamentals of classical and modern error-correcting codes

Machine learning : a first course for engineers and scientists

Machine learning refined : foundations, algorithms, and applications

Numerical recipes : the art of scientific computing

Convex optimization

Data mining and machine learning : fundamental concepts and algorithms

Computer age statistical inference : algorithms, evidence, and data science

Natural language processing : a machine learning perspective

Optimization for data analysis

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

Machine learning with neural networks : an introduction for scientists and engineers

Exponential families in theory and practice

Compressive imaging : structure, sampling, learning

Approaches and frameworks for HCI research

125 problems in text algorithms : with solutions

Information theoretic perspectives on 5G systems and beyond

Computational thinking for life scientists

The quest for artificial intelligence : a history of ideas and achievement

Foundations of data science

Model-based clustering and classification for data science : with applications in R

Deep learning in science

Foundations of probabilistic programming

Language, cognition, and computational models

Annotation-based semantics for space and time in language

Model checking quantum systems : principles and algorithms

Scalability, density, and decision making in cognitive wireless networks

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