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Bayesian Methodology: An overview with the help of R software
Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18th Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency of modern day computer systems. Bayesian methodology is now being used in the field of clinical research, clinical trials, epidemiology, econometrics, statistical process control, marketing research and statistical mechanics. It also used in the emerging field such as data science (machine learning and deep learning) and big data analytics. The book provides an overview of Bayesian methodology, its uses in different fields with the help of R statistical open source software. Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php
Deep Learning Models and its application: An overview with the help of R software: Second in series (Machine Learning)
Deep Learning Models and its application: An overview with the help of R softwarePrefaceDeep learning models are widely used in different fields due to its capability to handle large and complex datasets and produce the desired results with more accuracy at a greater speed. In Deep learning models, features are selected automatically through the iterative process wherein the model learns the features by going deep into the dataset and selects the features to be modeled. In the traditional models the features of the dataset needs to be specified in advance. The Deep Learning algorithms are derived from Artificial Neural Network concepts and it is a part of broader Machine Learning Models. Thi...
Deep Learning Models explored with help of Python Programming
This is the second book in the Deep Learning models series by the author. Deep learning models are widely used in different fields due to its capability to handle large and complex datasets and produce the desired results with more accuracy at a greater speed. In Deep learning models, features are selected automatically through the iterative process wherein the model learns the features by going deep into the dataset and selects the features to be modeled. In the traditional models the features of the dataset needs to be specified in advance. The Deep Learning algorithms are derived from Artificial Neural Network concepts and it is a part of broader Machine Learning Models. The book starts w...
Machine Learning: An overview with the help of R software
This book intends to provide an overview of Machine Learning and its algorithms & models with help of R software. Machine learning forms the basis for Artificial Intelligence which will play a crucial role in day to day life of human beings in the near future. A basic understanding of machine learning is required, as its application is widely seen in different fields such as banks and financial sectors, manufacturing, aviation, transportation and medical field. The book covers machine learning classification algorithms such as K-Nearest Neighborhood, Naïve Bayes, Decision Trees and also Artificial Neural Networks and Support Vector Machines. It is recommended to refer author’s book on App...
Code of Federal Regulations
Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.
Rebirth: Villain Daughter
For the sake of a weak and pure woman with a fake white lotus flower, for the sake of letting her sister sit on Lady Shen's seat in an upright manner, Shen Xiuce had to strangle himself to death. In order to please this so-called good sister, her father had been imprisoned in a mental hospital, her brother had been sold and imprisoned to the point of being abused to death. Her name was crossed out from the household book, and from then on, the only young miss in the Mu family was Mu Junli! In this life, she was going to stand at the top of the world and be cold-hearted and heartless!
The Code of Federal Regulations of the United States of America
The Code of Federal Regulations is the codification of the general and permanent rules published in the Federal Register by the executive departments and agencies of the Federal Government.
Introduction to Business Statistics through R software
Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. This book deals with the statistical methods which are useful in Business and Management decision making. The methods include Probability, Sampling, Correlation, Regression and Hypothesis Testing, Time Series, Forecasting and Non-Parametric tests and advanced statistical models. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author’s previous statistical book introduction to statistical methods and non-parametric methods.
The Lancet
None
Helicobacter pylori
The explosion of information on Helicobacter pylori-related disease, both in the basic sciences and in clinical medicine, has continued to progress at an unprecedented pace. In many instances H. pylori infection, both in man and in the laboratory animal, has become a model to investigate fundamental biological issues such as micro-organism host interactions, intracellular signalling, development of mucosal atrophy, mechanism of microbial resistance, disease modifying factors etc.
