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Big Data Systems
Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and p...
Hemostasis and Thrombosis in Obstetrics and Gynecology
Reproductive hemostasis: A global approach to a global challenge A hemostatic change in women through their reproductive lifetime is emerging as an issue of global importance. No wonder, as obstetric hemorrhage remains a major cause of maternal mortality in both developed and developing countries. Thrombophilias and pulmonary embolisms are a threat to maternal and fetal well-being. Hemostasis and Thrombosis in Obstetrics & Gynecology provides a framework for assessing and managing hemostatic disorders in women. Written by an international team, it provides globally applicable guidelines for obstetric hematology. The practical approach to clinical management includes: Hematologic changes in pregnancy Red cell disorders Platelet disorders Inherited and acquired thrombophilia Inherited bleeding disorders Postpartum hemorrhage Blood and bleeding disorders in women can be managed by obstetrician-gynecologists or hematologists, separately or together. Hemostasis and Thrombosis in Obstetrics & Gynecology provides specialists from both disciplines with the information necessary to manage their patients effectively.
Contribution of Sir Syed Ahmad Khan to Islamic Studies
Contributed articles presented at the National Seminar on Contribution of Sir Syed Ahmad Khan to Islamic Studies held at Aligarh Muslim University in Feb. 2004.
New Cambridge Statistical Tables
This second edition has all the tables required for elementary statistical methods in the social, business and natural sciences.
Major Companies of the Arab World 1993/94
This book represents the seventeenth edition of the leading IMPORTANT reference work MAJOR COMPANIES OF THE ARAB WORLD. All company entries have been entered in MAJOR COMPANIES OF THE ARAB WORLD absolutely free of ThiS volume has been completely updated compared to last charge, thus ensuring a totally objective approach to the year's edition. Many new companies have also been included information given. this year. Whilst the publishers have made every effort to ensure that the information in this book was correct at the time of press, no The publishers remain confident that MAJOR COMPANIES responsibility or liability can be accepted for any errors or OF THE ARAB WORLD contains more informati...
Statistical Data Analysis
This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).
Hepatology and Transplant Hepatology
Hepatology and Transplant Hepatology: A Case Based Approach presents a collection of interesting cases in liver disease seen at a very busy and large liver transplant center in the United States. These cases cover the full range of pathology that an internist or gastroenterologist may expect to see in a lifetime of taking care of patients with acute or chronic liver disease, before or after liver transplant. Each case is presented as you would see it in a clinical situation where a patient presents a complaint or something is noted on exam or blood work. The question/answer format will help one through the problem of making a diagnosis or in considering a differential diagnosis and also poin...
Government Gazette
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Bayesian Modeling and Computation in Python
Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries.
An Introduction to Stata for Health Researchers
Designed to assist those working in health research, An Introduction to Stata for Health Researchers explains how to maximize the versatile Stata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.
