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Mathematics for Machine Learning

Linear Algebra for Everyone

The Data Science Design Manual

Fundamentals of Music Processing : Using Python and Jupyter Notebooks

Linear Algebra and Learning from Data

An Introduction to Optimization on Smooth Manifolds

Neural Networks for Pattern Recognition

Sacred Geometry : How to use cosmic patterns to power up your life

Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning

Introduction to Deep Learning : From Logical Calculus to Artificial Intelligence

Generalized Principal Component Analysis

Fundamentals of Music Processing : Using Python and Jupyter Notebooks

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

Statistical Pattern Recognition

SPSS for Starters, Part 2

Handbook of Biometric Anti-Spoofing : Presentation Attack Detection and Vulnerability Assessment

Genetic Programming : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings

An Introduction to Kolmogorov Complexity and Its Applications

Formation, Dynamics And Statistics Of Patterns (Volume 1)

Lectures on the Nearest Neighbor Method

Computational Intelligence for Multimedia Understanding : International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011, Revised Selected Papers

Bioinformatics Research and Applications : 11th International Symposium, ISBRA 2015 Norfolk, USA, June 7-10, 2015 Proceedings

Fundamentals of Pattern Recognition and Machine Learning

Nonlinear Dimensionality Reduction

Approximation of Euclidean Metric by Digital Distances

Individual-based Methods in Forest Ecology and Management

Pattern Recognition Techniques Applied to Biomedical Problems

Perceiving Talking Faces : From Speech Perception to a Behavioral Principle

Pattern Classification : A Unified View of Statistical and Neural Approaches

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