Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with ...
WeiterlesenProvides an overview of skeletal biology from the molecular level to the organ level, including cellular control, interaction ...
WeiterlesenThe book includes coverage of all basic dental materials, their uses and examples of each; step-by-step illustrated guidance ...
WeiterlesenProvides an essential introduction to radiography in the dental practice. Illustrated throughout, this guide outlines and ...
WeiterlesenMasonry construction is usually the top priority in the constructive exercises during the course. The basic principles of ...
WeiterlesenResidential Buildings are normally the first design projects encountered by the student in his or her training. The focus ...
WeiterlesenThis unparalleled text on the basics of PET imaging technology is an ideal resource for technologists and residents preparing ...
WeiterlesenA complete reference for the current techniques and materials used in dental technology. Retains the accessible, task-based ...
WeiterlesenProvides comprehensive information on the basic principles of contemporary sanitary planning, as well as detailed solutions ...
WeiterlesenThe contents of this book builds further on the contents of the first volume in the Philips Research Book Series, Battery ...
WeiterlesenR's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
WeiterlesenThis Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
WeiterlesenThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
WeiterlesenProbabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
WeiterlesenProbabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
WeiterlesenProbabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
WeiterlesenBayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
WeiterlesenThis treatise covers all aspects of the design and the daily operations of a beam diagnostic system for a large particle ...
WeiterlesenThis book examines the capabilities needed to transform a globally distributed organization into a virtual organization (an ...
WeiterlesenThis book written by international experts in the field of educational innovation is a guide for universities to become world-class ...
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