The Nature of The Machine

This book is a philosophical exploration of the theoretical causes behind the collapse of classical cybernetics, as well as the lesson that this episode can provide to current emergent technologies. Alcibiades Malapi-Nelson advances the idea that the cybernetic understanding of the nature of a machine entails ontological and epistemological consequences that created both material and theoretical conundrums.

This book is a philosophical exploration of the theoretical causes behind the collapse of classical cybernetics, as well as the lesson that this episode can provide to current emergent technologies. Alcibiades Malapi-Nelson advances the idea that the cybernetic understanding of the nature of a machine entails ontological and epistemological consequences that created both material and theoretical conundrums.

This book is a philosophical exploration of the theoretical causes behind the collapse of classical cybernetics, as well as the lesson that this episode can provide to current emergent technologies. Alcibiades Malapi-Nelson advances the idea that the cybernetic understanding of the nature of a machine entails ontological and epistemological consequences that created both material and theoretical conundrums.

This book is a philosophical exploration of the theoretical causes behind the collapse of classical cybernetics, as well as the lesson that this episode can provide to current emergent technologies. Alcibiades Malapi-Nelson advances the idea that the cybernetic understanding of the nature of a machine entails ontological and epistemological consequences that created both material and theoretical conundrums.

Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc

“There are books on the brain and books on the mind. However, only occasionally one finds a scholarly written thesis that explains how brain circuits give rise to perceptions, thoughts and consciousness. Bill Klemm’s book belongs to this exceptional category. Using lucidly explained examples, he takes the ready on a cheerful journey from the computational elements of circuits to large-scale interactions of neuronal networks illustrating how such dynamics can support memories, decision making, perceptual binding and the conscious thought. A highly recommended reading.”
György Buzsáki, Rutgers University. Author of Rhythms of the Brain

Learn to predict cryptocurrency future prices using the power of Python Machine Learning (Artificial Intelligence)

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19.

Adapting to the changing nature of the engineering profession, this third edition of Fundamentals of Machine Elements aggressively delves into the fundamentals and design of machine elements with an SI version.