Machine learning

This Element highlights the archaeology of methods developed in chemometrics, artificial intelligence, and Bayesian statistics.

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly.

Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge.

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly.

Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge.

El presente libro tiene una clara vocación didáctica, se dirige a todas las personas que quieren adentrarse en el apasionante campo del aprendizaje automático combinando la teórica con la práctica para que sea sencillo asimilar las explicaciones.

The Element presents a no-nonsense introduction to AI in business, strategy, and society.

This self-contained introduction contains all students need to start applying machine learning principles to real-world engineering problems.

A comprehensive introduction to Bayesian optimization that starts from scratch and carefully develops all the key ideas along the way.

Discover data-driven learning methods with the third volume of this extraordinary three-volume set.

A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.

Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.

A Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.

This Element provides theoretical and practical introductions to machine learning for social scientists in applying it to experimental data.

Learn fundamental and advanced machine learning techniques for robust speaker recognition and domain adaptation with this useful toolkit.

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.

Das Metaverse ist nicht nur ein Hype, sondern eine reale Chance, die Arbeitswelt von morgen zu gestalten.