Springer
Fundamental Mathematical Concepts for Machine Learning in Science
Springer-Nature New York Inc
Algebraic Complexity Theory: With the Collaboration of Thomas Lickteig: 315
A Matrix Algebra Approach to Artificial Intelligence
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms: 449
Image Analysis and Processing Iciap 2022: 21st International Conference, Lecce, Italy, May...
Computer Vision
Fundamentals of Music Processing : Using Python and Jupyter Notebooks
Artificial Intelligence for Molecular Biology: Fundamental Methods and Applications
Encyclopedia of Machine Learning and Data Mining
Guide to Biometrics
Linear Algebra and Optimization for Machine Learning: A Textbook
Algorithmic Learning in a Random World
Artificial Intelligence for Molecular Biology: Advanced Methods and Applications
Space-Filling Curves: An Introduction With Applications in Scientific Computing: 9
Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective
Artificial Intelligence: A Textbook
Introduction to Quantum Computing
Perspectives on Digital Humanism
Fundamentals of Latex
Essentials of Navigation: A Guide for Marine Navigation
Data Governance: A Guide
Probability and Statistics for Machine Learning: A Textbook
Photogrammetric Computer Vision: Statistics, Geometry, Orientation and Reconstruction: 11
The Correctness-by-Construction Approach to Programming
Advanced Latex
SQL Server Database Programming With Java: Concepts, Designs and Implementations
Neural Information Processing: 29th International Conference, Iconip 2022, Virtual Event, November 22...
Psychoacoustics: Facts And Models
Mechanical and Thermal Measurements by Images Waves: Principles Applications
Advanced Guide to Python 3 Programming
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