Machine learning.

Designing machine learning systems: an iterative process for production-ready applications/ by: (Language materials, printed)

Introduction to pattern recognition and machine learning by: (Language materials, printed)

EEG-based experiment design for major depressive disorder :machine learning and psychiatric diagnosis / by: (Language materials, printed)

Hands-on machine learning with Scikit-Learn and TensorFlow :concepts, tools, and techniques to build intelligent systems / by: (Language materials, printed)

TensorFlow machine learning cookbook :explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehenisive cookbook / by: (Language materials, printed)

Bioinformatics :the machine learning approach / by: (Language materials, printed)

Network anomaly detectiona machine learning perspective / by: (Language materials, printed)

Ubiquitous machine learning and its applications by: (Language materials, printed)

Enhancing software fault prediction with machine learningemerging research and opportunities / by: (Language materials, printed)

Advances in machine learning and data mining for astronomy by: (Language materials, printed)

Algorithms for reinforcement learning by: (Language materials, printed)

Conformal prediction for reliable machine learningtheory, adaptations, and applications / by: (Language materials, printed)

Data mining with decision treestheory and applications / by: (Language materials, printed)

Machine learninga Bayesian and optimization perspective / by: (Language materials, printed)

Quantum machine learningwhat quantum computing means to data mining / by: (Language materials, printed)