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Statistics for Data Scientists
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.
Corpus Dei. Sabrina Van Den Heuvel
In het najaar van 2017 werd Sabrina van den Heuvel aangesteld als artist-in-residence bij het Nederlands Interuniversitair Kunsthistorisch Instituut (NIKI) in Florence. Tijdens haar verblijf Florence liet zij zich inspireren door de natuur rondom Florence en Rome, de overblijfselen van de klassieke oudheid in Tivoli en de meesterwerken van Caravaggio en Michelangelo, waarbij ook de dichtkunst van de laatstgenoemde een belangrijke bron vormde. Hier vervaardigde zij haar serie 'Corpus Dei', Goddelijk lichaam. De man die voor Van den Heuvel Corpus Dei belichaamt is een van de straat geplukt model, Jacopo.0Edwin Becker, hoofdconservator tentoonstellingen van het Van Gogh Museum: ?Sabrina weet de...
Black Holes in Binaries and Galactic Nuclei: Diagnostics, Demography and Formation
The observational evidence for the existence of black holes has grown significantly over recent decades. Stellar-mass black holes are detected as X-ray sources in binary systems, while supermassive black holes, with masses more than a million times the mass of the Sun, lurk in the nuclei of galaxies. These proceedings provide a useful and up-to-date overview of the observations of black holes in binaries, in the center of the Milky Way, and in the nuclei of galaxies, presented by leading expert astronomers. Special attention is given to the formation (including the recent evidence from gamma-ray bursts), physical properties, and demographics of black holes.
Proceedings of the Twenty Seventh General Assembly Rio de Janeiro 2009
A complete record of the formal organisational and administrative proceedings of the XXVII General Assembly of the International Astronomical Union.
Shanghai Pudong
This publication concerns large-scale urban area development in general and in particular with gaining an understanding of the role played by global-local interaction in shaping the area development strategies in one particularly explosive urban project, the development of Shanghai's Pudong New Area. The Pudong development provides an extreme example of a situation in which interaction between global and local forces took place in a location whose boundaries had been closed to the outside world for almost forty years and in a period when doors and windows were beginning to open. The research led to a concrete interpretation of the tensions developing at district level and provided an example capable of representing the complexity and dynamics of current area developments.The practical question addressed by the research was: What were the main factors responsible for the speed achieved by the Pudong development? The associated theoretical question was To what extent did the development of the Pudong New Area reflect the characteristics of a developmental state?
Statistical Methods in Epilepsy
Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis,...
Mathematics for Human Flourishing in the Time of COVID-19 and Post COVID-19
The International Chair in Mathematical Physics and Applications (ICMPA - UNESCO chair), University of Abomey-Calavi, Benin, and the Center for Applied Mathematics of the Faculty of Mechanical Engineering Niš, CAM-FMEN, organized a webinar on Mathematics for human flourishing in the time of COVID-19 and post COVID-19, 21 October 2020, supported by the City of Niš. The objectives of the webinar were to give precise information about the work that scientists do to cure the disease, to push forward technology, to understand our society and create new expressions of humanity, and to question the role of mathematics in the responses to this pandemic.
Bioinformatic and Statistical Analysis of Microbiome Data
This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.
