Statistical Learning.

Data science, classification, and artificial intelligence for modeling decision making by: (Electronic resources)

Linear dimensionality reduction by: (Electronic resources)

Statistical models and methods for data science by: (Electronic resources)

Applied statistical learning = with case studies in Stata / by: (Electronic resources)

WAIC and WBIC with R Stan = 100 exercises for building logic / by: (Electronic resources)

Sustainable statistical and data science methods and practices = reports from LISA 2020 Global Network, Ghana, 2022 / by: (Electronic resources)

Machine learning methods by: (Electronic resources)

Causality for artificial intelligence = from a philosophical perspective / by: (Electronic resources)

Developments in statistical modelling by: (Electronic resources)

An introduction to statistical data science = theory and models / by: (Electronic resources)

Decision mathematics, statistical learning and data mining = selected contributions from ICMSCT2023, Manila, Philippines, September 20-21 / by: (Electronic resources)

WAIC and WBIC with Python Stan = 100 exercises for building logic / by: (Electronic resources)

New trends in functional statistics and related fields by: (Electronic resources)

Flight safety management = quantitative and AI approaches / by: (Electronic resources)

Beyond the T-Test by: (Electronic resources)

Supervised and unsupervised statistical data analysis by: (Electronic resources)

Manifold learning = model reduction in engineering / by: (Electronic resources)

Practical statistical learning and data science methods = case studies from LISA 2020 Global Network, USA / by: (Electronic resources)

Fundamentals of supervised machine learning = with applications in Python, R, and Stata / by: (Electronic resources)