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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 refined : foundations, algorithms, and applications

Machine learning : a first course for engineers and scientists

Numerical recipes : the art of scientific computing

Convex optimization

Data mining and machine learning : fundamental concepts and algorithms

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

125 problems in text algorithms : with solutions

Information theoretic perspectives on 5G systems and beyond

Computational thinking for life scientists

Approaches and frameworks for HCI research

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

Compressive imaging : structure, sampling, learning

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

Digital signal processing : principles and applications

Language, cognition, and computational models

Science, technology, and society : new perspectives and directions

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