Symbolic Regression

Discover the groundbreaking techniques of Symbolic Regression by Gabriel Kronberger, set to be published by Taylor & Francis Ltd in 2024. This hardback edition spans 308 pages and delves into one of the most powerful machine learning methodologies available today. Symbolic regression (SR) excels at producing transparent models, enabling researchers and data scientists to explore mathematical expressions that accurately represent the relationship between predictors and dependent variables. What sets SR apart is its ability to operate without preconceived assumptions about model structure, making it a versatile tool for various applications. Whether you're a seasoned professional or a newcomer to the field, this book will enhance your understanding of SR and its practical implications in machine learning. Don't miss out on the opportunity to expand your knowledge with this essential resource!