The epistemological synthesis of the various theories of evolution, since the first formulation in 1802 with the transmission of the inherited characters by J.B. Lamarck, shows the need for an alternative synthesis to that of Princeton (1947). This new synthesis integrates the s…
Build automatic classification and prediction models using unsupervised learningAbout This Book Harness the ability to build algorithms for unsupervised data using deep learning concepts with R Master the common problems faced such as overfitting of data, anomalous datasets, ima…
Statistical learning, particularly probabilistic model learning, has become increasingly important in recent years. Probabilistic models, however, are not usually studied for their own sake but for decision-making purposes. Written by authorities in the field, ""Utility-Based Le…
« Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking r…
Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking res…
Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking res…
"The book provides an overview of swarm intelligence and adaptive complex systems for AI, organized in seven chapters. Each chapter begins with a background of the problem and of the current state of the art of the field, and ends with detailed discussion about the complex syste…
"The book provides an overview of swarm intelligence and adaptive complex systems for AI, organized in seven chapters. Each chapter begins with a background of the problem and of the current state of the art of the field, and ends with detailed discussion about the complex syste…
"The book provides an overview of swarm intelligence and adaptive complex systems for AI, organized in seven chapters. Each chapter begins with a background of the problem and of the current state of the art of the field, and ends with detailed discussion about the complex syste…
Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer vision…
"Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer visio…
