It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies.
This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced... Læs mere
This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning... Læs mere
font-family: 'Times New Roman',serif; font-family: 'Times New Roman',serif; font-family: 'Times New Roman',serif;">Discover how blockchain and AI/ML combine to power next-generation solutions.
The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection.
A variety of features of statistics for functional data are addressed, such as estimation of functional features, exploration and pre-processing of... Læs mere
This textbook is a consolidation of learning methods which comes in an analytic form. The covered learning methods include classical and advanced... Læs mere
The book presents the author's development of two first-principles methods to calculate dielectric properties of materials based on anharmonic phonon and machine learning, and demonstrates an in-depth analysis of anharmonic crystals and molecular liquids.
This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains.
The book uses case studies to illustrate how Python can enhance traditional research methods in accounting and... Læs mere
This volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness.