The book will be related to applied machine learning and deep learning in the field of sensing, vision and sensor-based applications.
Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques.
The collapse of communism in the Soviet Union and Eastern Europe delegitimized private property and central planning for... Læs mere
This Element introduces narrative creativity, distinguishing it from other approaches and explaining its biological and neuroscientific origins. It... Læs mere
This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science.
This reference text covers the theory and applications of soft computing and machine learning and presents readers with the... Læs mere
The book includes detailed Python examples for each phase, making it an essential resource for researchers and practitioners in animal behavior and technology.
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and... Læs mere
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an... Læs mere
Shows how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making.... Læs mere
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate... Læs mere
The proceedings of the International Conference on Hybrid and Advanced... Læs mere