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Another Sunny Day
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Book Synopsis Another Sunny Day in Hell by : Jack Bell
Download or read book Another Sunny Day in Hell written by Jack Bell and published by Trafford Publishing. This book was released on 2011-08-08 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Jack Bells first published book of poetry. These are poems that were selected from the year 1986 to 2011. In this book you will read a wide variety of poems that have been compiled through time and also based on the authors life experiences.
Download or read book Popkiss written by Michael White and published by Bloomsbury Publishing USA. This book was released on 2015-12-07 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: From 1987 to 1995, Bristol, England's Sarah Records was a modest underground success and, for the most part, a critical laughingstock in its native country-sneeringly dismissed as the sad, final repository for a fringe style of music (variously referred to as “indie-pop,” “C86,” “cutie” and “twee”) whose moment had passed. Yet now, more than 20 years after its founders symbolically “destroyed” it, Sarah is among the most passionately fetishized record labels of all time. Its rare releases command hundreds of dollars, devotees around the world hungrily seek out any information they can find about its poorly documented history, and young musicians-some of them not yet born when Sarah shut down-claim its bands (such as Blueboy, the Field Mice, Heavenly, and the Wake) as major influences. Featuring dozens of exclusive interviews with the music-makers, producers, writers and assorted eyewitnesses who played a part in Sarah's eight-year odyssey, Popkiss: The Life and Afterlife of Sarah Records is the first authorised biography of an unlikely cult legend.
Book Synopsis Sunny Day: For tablet devices by : Anna Milbourne
Download or read book Sunny Day: For tablet devices written by Anna Milbourne and published by Usborne Publishing Ltd. This book was released on 2013-12-01 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: A beautiful picture book following two children on a summer walk. Gently presented information explores different aspects of a sunny day, from the effects of sunshine on flowers, to the long shadows cast as the sun begins to set. This is a highly illustrated ebook that can only be read on the Kindle Fire or other tablet.
Book Synopsis Probability and Statistics for Computer Scientists by : Michael Baron
Download or read book Probability and Statistics for Computer Scientists written by Michael Baron and published by CRC Press. This book was released on 2019-06-25 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with numerous figures, and concludes with appendices and an index. The book is erudite and ... could work well as a required text for an advanced undergraduate or graduate course." ---Computing Reviews Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tested book can be used for one- or two-semester courses. Features: Axiomatic introduction of probability Expanded coverage of statistical inference and data analysis, including estimation and testing, Bayesian approach, multivariate regression, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap Numerous motivating examples and exercises including computer projects Fully annotated R codes in parallel to MATLAB Applications in computer science, software engineering, telecommunications, and related areas In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). About the Author Michael Baron is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping, change-point detection, Bayesian inference, and applications of statistics in epidemiology, clinical trials, semiconductor manufacturing, and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph.D. in statistics from the University of Maryland. In his turn, he supervised twelve doctoral students, mostly employed on academic and research positions.
Book Synopsis Introduction to Linear Algebra with Applications by : Jim DeFranza
Download or read book Introduction to Linear Algebra with Applications written by Jim DeFranza and published by Waveland Press. This book was released on 2015-01-23 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few decades, linear algebra has become more relevant than ever. Applications have increased not only in quantity but also in diversity, with linear systems being used to solve problems in chemistry, engineering, economics, nutrition, urban planning, and more. DeFranza and Gagliardi introduce students to the topic in a clear, engaging, and easy-to-follow manner. Topics are developed fully before moving on to the next through a series of natural connections. The result is a solid introduction to linear algebra for undergraduates’ first course.
Book Synopsis Probability and Statistics for Computer Scientists, Second Edition by : Michael Baron
Download or read book Probability and Statistics for Computer Scientists, Second Edition written by Michael Baron and published by CRC Press. This book was released on 2013-08-05 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.
Book Synopsis Probability, Statistics, and Stochastic Processes by : Peter Olofsson
Download or read book Probability, Statistics, and Stochastic Processes written by Peter Olofsson and published by John Wiley & Sons. This book was released on 2012-05-04 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition ". . . an excellent textbook . . . well organized and neatly written." —Mathematical Reviews ". . . amazingly interesting . . ." —Technometrics Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields. Beginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including: Consistency of point estimators Large sample theory Bootstrap simulation Multiple hypothesis testing Fisher's exact test and Kolmogorov-Smirnov test Martingales, renewal processes, and Brownian motion One-way analysis of variance and the general linear model Extensively class-tested to ensure an accessible presentation, Probability, Statistics, and Stochastic Processes, Second Edition is an excellent book for courses on probability and statistics at the upper-undergraduate level. The book is also an ideal resource for scientists and engineers in the fields of statistics, mathematics, industrial management, and engineering.
Book Synopsis The Daily Diaries of Gladys Morley 1962-1969 by : Gladys Morley
Download or read book The Daily Diaries of Gladys Morley 1962-1969 written by Gladys Morley and published by Lulu.com. This book was released on 2019-02-12 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: The transcription of diaries kept by a regular English lady in the 1960's, documenting the weather, key events, daily chores in a couple of sentences that sum up her daily activities
Book Synopsis One Day in Paris... by : Wallace J. Gordon
Download or read book One Day in Paris... written by Wallace J. Gordon and published by AuthorHouse. This book was released on 2005-07-21 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional wisdom said it could never happen. For starters, he was from >Arizona and she was from Pennsylvania.Almost a whole continent apart. And he was a widower and she was a widow. With 42 and 47 years, respectively, of happy marriage behind them. And if that wasn’t enough, he was a young 75 and she was a lovely 69; old enough to know better, one might say.Then one day they boarded a plane for . They noticed each other, but didn’t meet. When the plane landed they ended up in the same hotel. Arranged by the same tour group. But both so engrossed in Paris they still didn’t see each other. Then it happened. On the third day their group gathered for an introductory meeting and dinner. They ended up sitting across from each other. ">He said, “Hi.” She said, “Hello.” And the sparks began to fly. That’s when the love story that couldn’t happen began to happen...
Book Synopsis Catalog of Copyright Entries by : Library of Congress. Copyright Office
Download or read book Catalog of Copyright Entries written by Library of Congress. Copyright Office and published by . This book was released on 1976 with total page 1188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis La Croche Lune by : David D'HALLEINE
Download or read book La Croche Lune written by David D'HALLEINE and published by Lulu.com. This book was released on with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis It's Sunny Today by : Kristin Sterling
Download or read book It's Sunny Today written by Kristin Sterling and published by Lerner Publications ™. This book was released on 2017-08-01 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sun glows and glimmers. It casts warm light on the land and seas. Sunlight helps plants to grow. People enjoy being outside on sunny days. What happens when the weather is sunny? Read this book to find out! Learn all about kinds of weather in the What’s the Weather Like? series - part of the Lightning Bolt BooksTM collection. With high-energy designs, exciting photos, and fun text, Lightning Bolt BooksTM bring nonfiction topics to life!
Book Synopsis Fundamentals of Reinforcement Learning by : Rafael Ris-Ala
Download or read book Fundamentals of Reinforcement Learning written by Rafael Ris-Ala and published by Springer Nature. This book was released on 2023-08-14 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization. This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges. Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions
Book Synopsis Hands-On Simulation Modeling with Python by : Giuseppe Ciaburro
Download or read book Hands-On Simulation Modeling with Python written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2022-11-30 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with ease Key FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook Description Simulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, that'll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, you'll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. You'll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, you'll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learnGet to grips with the concept of randomness and the data generation processDelve into resampling methodsDiscover how to work with Monte Carlo simulationsUtilize simulations to improve or optimize systemsFind out how to run efficient simulations to analyze real-world systemsUnderstand how to simulate random walks using Markov chainsWho this book is for This book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python.
Book Synopsis Business Talk Hörkurs by : Barry Baddock
Download or read book Business Talk Hörkurs written by Barry Baddock and published by Hueber Verlag. This book was released on 2010 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Markov Chains written by Paul A. Gagniuc and published by John Wiley & Sons. This book was released on 2017-07-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subject along the four convergent lines of mathematics, implementation, simulation, and experimentation. It introduces readers to the art of stochastic modeling, shows how to design computer implementations, and provides extensive worked examples with case studies. Markov Chains: From Theory to Implementation and Experimentation begins with a general introduction to the history of probability theory in which the author uses quantifiable examples to illustrate how probability theory arrived at the concept of discrete-time and the Markov model from experiments involving independent variables. An introduction to simple stochastic matrices and transition probabilities is followed by a simulation of a two-state Markov chain. The notion of steady state is explored in connection with the long-run distribution behavior of the Markov chain. Predictions based on Markov chains with more than two states are examined, followed by a discussion of the notion of absorbing Markov chains. Also covered in detail are topics relating to the average time spent in a state, various chain configurations, and n-state Markov chain simulations used for verifying experiments involving various diagram configurations. • Fascinating historical notes shed light on the key ideas that led to the development of the Markov model and its variants • Various configurations of Markov Chains and their limitations are explored at length • Numerous examples—from basic to complex—are presented in a comparative manner using a variety of color graphics • All algorithms presented can be analyzed in either Visual Basic, Java Script, or PHP • Designed to be useful to professional statisticians as well as readers without extensive knowledge of probability theory Covering both the theory underlying the Markov model and an array of Markov chain implementations, within a common conceptual framework, Markov Chains: From Theory to Implementation and Experimentation is a stimulating introduction to and a valuable reference for those wishing to deepen their understanding of this extremely valuable statistical tool. Paul A. Gagniuc, PhD, is Associate Professor at Polytechnic University of Bucharest, Romania. He obtained his MS and his PhD in genetics at the University of Bucharest. Dr. Gagniuc’s work has been published in numerous high profile scientific journals, ranging from the Public Library of Science to BioMed Central and Nature journals. He is the recipient of several awards for exceptional scientific results and a highly active figure in the review process for different scientific areas.
Download or read book Climatological Data written by and published by . This book was released on 1994 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:
