Machine Learning and Data Analytics for Solving Business Problems Other Books in This Series

Super-Resolution for Remote Sensing Super-Resolution for Remote Sensing
2024
Unsupervised Feature Extraction Applied to Bioinformatics Unsupervised Feature Extraction Applied to Bioinformatics
2024
Advances in Computational Logistics and Supply Chain Analytics Advances in Computational Logistics and Supply Chain Analytics
2024
Feature and Dimensionality Reduction for Clustering with Deep Learning Feature and Dimensionality Reduction for Clustering with Deep Learning
2023
Hidden Markov Models and Applications Hidden Markov Models and Applications
2022
Partitional Clustering via Nonsmooth Optimization Partitional Clustering via Nonsmooth Optimization
2020
Deep Biometrics Deep Biometrics
2020
Sampling Techniques for Supervised or Unsupervised Tasks Sampling Techniques for Supervised or Unsupervised Tasks
2019
Supervised and Unsupervised Learning for Data Science Supervised and Unsupervised Learning for Data Science
2019
Unsupervised Feature Extraction Applied to Bioinformatics Unsupervised Feature Extraction Applied to Bioinformatics
2019
Mixture Models and Applications Mixture Models and Applications
2019
Linking and Mining Heterogeneous and Multi-view Data Linking and Mining Heterogeneous and Multi-view Data
2018
Natural Computing for Unsupervised Learning Natural Computing for Unsupervised Learning
2018
Clustering Methods for Big Data Analytics Clustering Methods for Big Data Analytics
2018