Following on from the successful first book in the series, Bluey The Little Drip the latest story Bluey Meets Father Christmas continues the journey of the water droplets as they travel around the world. This time the droplets turn into snow flakes, become part of a snowman and travel with Santa on his sleigh. As they travel high in the sky the droplets become iciclesbut Bluey falls off landing in a very desolate spot near to a pool of stagnant water. He looks up to see Santa and his best ...

Chromebooks in easy steps illustrates all the clever features of this versatile, budget-friendly alternative to a Windows laptop or MacBook. Covering all Chromebook models, it:Demystifies what a Chromebook is and how it differs from other types of laptops and tablets.Shows how to get your Chromebook up and running in no time.Guides you through the Chrome web browser, Gmail and other key apps such as Docs, Sheets, and Slides.Revea...

An old man is considering the life he has led. As a former professor he is inclined towards assigning letter grades, so he gives his life a “B,” bordering on “B+.” A pretty good life all in all, but with some regrets about opportunities not grasped, kindnesses not bestowed and received, loves lost, and persons valued and admired meeting serious injury or early death. Not to mention the steadily declining state of Planet Earth’s natural ecologies in his lifetime from the overburden of massi...

The essential guide on how to teach about dreaming.Dreaming in the Classroom provides teachers from virtually all fields with a uniquely informative guidebook for introducing their students to the universal human phenomenon of dreaming. Although dreaming may not be held in high esteem in mainstream Western society, students at all education levels consistently enjoy learning about dreams and rank classes on dreaming among their favorite, most significant educationa...

Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brainPropos...

In From Molecule to Metaphor, Jerome Feldman proposes a theory of language and thought that treats language not as an abstract symbol system but as a human biological ability that can be studied as a function of the brain, as vision and motor control are studied. This theory, he writes, is a "bridging theory" that works from extensive knowledge at two ends of a causal chain to explicate the links between. Although the cognitive sciences are revealing much about how our brains prod...

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addres...

The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-f...

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear...

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in m...

Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out statistical methods using the popular and freely available R statistical language. Sections on d-sep...

The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the...