Supervised and Unsupervised Statistical Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)

Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

Statistical Methods and Analyses for Medical Devices

Recent Trends and Future Challenges in Learning from Data (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer

An Introduction to Statistical Data Science: Theory and Models

Springer

Introductory Statistics for Data Analysis

Springer

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

Covariance Analysis and Beyond

Springer

Data Analysis of Medical Studies: Reading and Reporting

Springer

Statistics for Data Science and Policy Analysis

Springer

Statistical Learning in Genetics: An Introduction Using R (Statistics for Biology and Health)

Springer

Multi-dimensional Urban Sensing Using Crowdsensing Data (Data Analytics)

Statistical Modeling and Applications (Emerging Topics in Statistics and Biostatistics)

Data Analytics for Decision Making towards Business Excellence: Through the Lens of Retail and Financial Services (Uncertainty and Operations Research)

Springer

Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems)

Springer Handbook of Engineering Statistics

Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)

Springer

Statistical Modeling and Analysis of Longitudinal Data

Hidden Markov Processes and Adaptive Filtering (Springer Series in Statistics)

Multivariate Statistical Analysis in the Real and Complex Domains

Springer

Springer - Hidden Markov Models and Applications Book

Springer

Multivariate Statistics and Machine Learning in R For Beginners: With Applications in Biology and Medicine

Springer

Probability, Statistics and Life Cycle Assessment: Guidance for Dealing with Uncertainty and Sensitivity

Springer

Computing for Data Analysis: Theory and Practices (Data-Intensive Research)

Springer