Before the birth of his third son Baldwin, Armand DesMarets hires Rajeev, a Hindu with a Christian upbringing, to give his children a well-rounded education that includes foreign languages, herbology, and astronomy. Rajeev is particularly devoted to Baldwin, who has frightening dreams of a demon, remembrance of a past life, and celestial visions of Mary Magdalene. The tutor accompanies the young knight and his faithful dog, Bhaiya, as he sets sail to Jerusalem to join a newly formed group of monk warriors, known as the Knights Templar. During their travels, they meet many devout pilgrims, including the pious Bernard of Clairvaux. They also encounter raging seas, pillaging pirates, and one mysterious stranger who becomes an unlikely traveling companion. This is a dedicated religious journey for young Baldwin, but just what lies in store for him when he arrives and meets with the Knights Templar? To join, he must take an oath of poverty, chastity, and devotion. However, his life takes a turn when he is given a mysterious mission that takes him on a deeper journey of both outer and inner exploration.

Get better insights from time-series data and become proficient in model performance analysis Key FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems. Machine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering. This book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You'll also have a look at real-world case studies covering weather, traffic, biking, and stock market data. By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series. What you will learnUnderstand the main classes of time series and learn how to detect outliers and patternsChoose the right method to solve time-series problemsCharacterize seasonal and correlation patterns through autocorrelation and statistical techniquesGet to grips with time-series data visualizationUnderstand classical time-series models like ARMA and ARIMAImplement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning modelsBecome familiar with many libraries like Prophet, XGboost, and TensorFlowWho this book is for This book is ideal for data analysts, data scientists, and Python developers who want instantly useful and practical recipes to implement today, and a comprehensive reference book for tomorrow. Basic knowledge of the Python Programming language is a must, while familiarity with statistics will help you get the most out of this book.

When Gabi and Lia finally learn to surf the river of time, they realize they must make hard choices about life and love in Torrent, the third and final book in the River of Time series. Gabi and Lia Betarrini have learned to control their time travel, and they return from medieval Italy to save their father from his tragic death in modern times. But love calls across the centuries, and the girls are determined to return forever--even though they know the Black Plague is advancing across Europe, claiming the lives of one-third of the population. In the suspenseful conclusion of the River of Time series, every decision is about life . . . and death.

'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series.

This meticulously edited adventure collection contains tales of fair medieval knights known throughout the world for their honor and chivalry. This eBook edition has been formatted to the highest digital standards and adjusted for readability on all devices. Table of contents: Winning His Spurs: A Tale of the Crusades St. George For England: A Tale of Cressy and Poitiers The Lion of St. Mark: A Story of Venice in the Fourteenth Century At Agincourt: A Tale of the White Hoods of Paris A Knight of the White Cross: A Tale of the Siege of Rhodes

"The Golden Age of Fraternity was a unique time in American history. In the forty years between the Civil War and the onset of World War I, more than half of all Americans participated in clubs, fraternities, militias, and mutual benefit societies. Today this period is held up as a model for how we might revitalize contemporary civil society. But was America's associational culture really as communal as has been assumed? What if these much-admired voluntary organizations served parochial concerns rather than the common good? Jason Kaufman sets out to dispel many of the myths about the supposed civic-mindedness of "joining" while bringing to light the hidden lessons of associationalism's history. Relying on deep archival research in city directories, club histories, and membership lists, Kaufman shows that organizational activity in the late nineteenth and early twentieth centuries revolved largely around economic self-interest rather than civic engagement. And far from spurring concern for the collective good, fraternal societies, able to pick and choose members at will, fostered exclusion and further exacerbated the competitive interests of a society divided by race, class, ethnicity, and religion. Tracing both the rise and the decline of American associational life - a decline that began immediately after World War I, much earlier than previously thought - Kaufman argues persuasively that the end of fraternalism was a good thing. Illuminating both broad historical shifts - immigration, urbanization, and the disruptions of war, among them - and smaller, overlooked contours, such as changes in the burial and life insurance industries, Kaufman has written a bracing revisionist history. Eloquently rebutting those hailing America's associational past and calling for a return to old-style voluntarism, For the Common Good? will change the terms of debate about the history - and the future - of American civil society."--Publisher's description.

The Routledge Handbook of English Language and Digital Humanities serves as a reference point for key developments related to the ways in which the digital turn has shaped the study of the English language and of how the resulting methodological approaches have permeated other disciplines. It draws on modern linguistics and discourse analysis for its analytical methods and applies these approaches to the exploration and theorisation of issues within the humanities. Divided into three sections, this handbook covers: sources and corpora; analytical approaches; English language at the interface with other areas of research in the digital humanities. In covering these areas, more traditional approaches and methodologies in the humanities are recast and research challenges are re-framed through the lens of the digital. The essays in this volume highlight the opportunities for new questions to be asked and long-standing questions to be reconsidered when drawing on the digital in humanities research. This is a ground-breaking collection of essays offering incisive and essential reading for anyone with an interest in the English language and digital humanities.

A book-and-video introduction to Microsoft's Business Intelligence tools If you are just starting to get a handle on Microsoft Business Intelligence (BI) tools, this book and accompanying video provides you with the just the right amount of information to perform basic business analysis and reporting. You'll explore the components and related tools that comprise the Microsoft BI toolset as well as the new BI features of Office 2010. After a basic primer on BI and data modeling, the expert team of authors provides you with step-by-step lessons in the book and videos on the accompanying DVD on how to use SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, Excel BI (including PowerPivot), and SharePoint. Integrates instructional videos with each of the lessons found in the book to enhance your learning experience Explores the Microsoft Business Intelligence (BI) toolset as well as the new BI features of Office 2010 Encourages you to practice what you've learned in "Try It Out" sections Contains video demonstrations that walk you through how to tackle each lesson featured in the book With Knight's Microsoft Business Intelligence 24-Hour Trainer, veteran authors present you with an ideal introductory book-and-video package so that you can get started working with the BI toolset immediately! Note: As part of the print version of this title, video lessons are included on DVD. For e-book versions, video lessons can be accessed at wrox.com using a link provided in the interior of the e-book.

This text assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting edge modeling and forecasting techniques. It then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.