Probability and statistics

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general.

This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data.

Edited and authored by a wealth of international experts in neuroscience and related disciplines, this key new resource aims to offer medical students and graduate researchers around the world a comprehensive introduction and overview of modern neuroscience.

Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn to diagnose the need for regularization in any machine learning modelRegularize different ML models using a variety of techniques and methodsEnhance the functionality of your models using state of the art computer vision and NLP techniquesBook DescriptionRegularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must.

'There is no author whose books I look forward to more' Bill GatesThe New York Times bestselling author returns with a mind-opening exploration of how size defines life on Earth.

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life.

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life.

An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical.

Based on the syllabus of the actuarial profession courses on general insurance pricing - with additional material inspired by the author's own experience as a practitioner and lecturer - Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate.

An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical.

With the aim to better understand nature, mathematical tools are being used nowadays in many different fields.

With the aim to better understand nature, mathematical tools are being used nowadays in many different fields.

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science.

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science.

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication.

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication.

This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment.

This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment.

The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics.

This book constitutes the refereed proceedings of the 16th International Conference on Learning and Intelligent Optimization, LION 16, which took place in Milos Island, Greece, in June 2022.

This is the first book of two volumes covering the basics of statistical methods and analysis.

Written by an award-winning behavioral change expert, this practical guide shows how recent discoveries in the behavioural sciences can help you lead a more positive and rewarding life.

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants.

This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand.

This publication titled, ';Teaching of Statistics and Computer Science' provides readers with an introductory overview of teaching of statistics.

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences.

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences.

Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance.

This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics.

This book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology.

This book focuses on economic inequality, its measurement, and its relationship with economic growth and development.

This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory.

Este libro justifica las razones que sustentan el uso de métodos estadísticos vislumbrados como una forma de presentar e interpretar grandes volúmenes de información de forma resumida y con validez científica.

Information is very important for businesses.

Information is very important for businesses.

This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates.

How much statistics does a clinician, surgeon or nurse need to know?

This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory.

This book introduces undergraduate students of engineering and science to applied mathematics essential to the study of many problems.

Statistics for Social Understanding introduces statistics as it's used in the social sciences-as a tool for advancing understanding of the social world.

This book includes selected peer reviewed articles from The 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), held on 29th  and 30th  April 2022 in Hyderabad, India.

This book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-25 June 2021.

This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specified performances.

Gather and analyze data successfully, identify trends, and then create overarching strategies and actionable next steps - all through Excel.

Seasonality in economic time series can "e;obscure"e; movements of other components in a series that are operationally more important for economic and econometric analyses.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.

This book surveys some of the important research work carried out by Indian scientists in the field of pure and applied probability, quantum probability, quantum scattering theory, group representation theory and general relativity.

The Baseball Mysteries: Challenging Puzzles for Logical Detectives is a book of baseball puzzles, logical baseball puzzles.

The Baseball Mysteries: Challenging Puzzles for Logical Detectives is a book of baseball puzzles, logical baseball puzzles.

This book surveys some of the important research work carried out by Indian scientists in the field of pure and applied probability, quantum probability, quantum scattering theory, group representation theory and general relativity.