McGraw-Hill Education Mitigating Bias in Machine Learning

Ethics in Artificial Intelligence: Bias, Fairness and Beyond: 1123 (Studies in Computational Intelligence, 1123)

Springer

Machine Learning

Springer

Machine Learning

Springer

Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Apress

Introduction to Machine Learning with Python

Model-Based Machine Learning

Chapman and Hall/CRC

Machine Learning and Artificial Intelligence

Springer

Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)

Springer

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

Wiley

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Apress

Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

Packt Publishing

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Artificial Intelligence AI: Elementary to Advanced Practices)

CRC Press

Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance (Advances in Data Mining and Database Management)

IGI Global

Artificial Intelligence, Machine Learning, and Data Science Technologies: Future Impact and Well-Being for Society 5.0 (Demystifying Technologies for Computational Excellence)

CRC Press