Three days. A grand prize. Unlikely players. Dan is an average eighteen-year-old nerd with an irrational fear of making phone calls and a preference for spending his evenings playing tabletop games with his mom. When a friend asks for help in a city-wide scavenger hunt, Dan lets his trusted dice decide his fate. To his dismay, the roll launches him into a whirlwind adventure he's definitely not prepared for. But with a fifty-thousand-euro prize that could pay for his mother’s surgery, it's a risk worth taking. From the crypts of St. Stephen’s Cathedral, through a freezing maze at Schönbrunn Palace, to the grand Viennese ball at the National Opera, Dan and his team scour Vienna for clues hidden in historical landmarks, uncovering the city's mysteries along with each other's secrets. But when Dan faces his worst fears, can he rise to the challenge and win the contest before time runs out? Let the Hunt begin. Filled with witty banter, nerdy references, and unexpected twists, this thrilling coming of age adventure tackles themes of mental health, self-discovery, and friendship, while showing that sometimes the most memorable moments in life happen when you let go and let the dice roll. Perfect for fans of John Green and Alice Oseman.
The first volume to chart the rich and reciprocal relationship between drawing and printmaking from the fifteenth to nineteenth centuries While often viewed and studied separately, drawings and prints have always been closely intertwined. They facilitated and generated the production of one another, and in some instances, clear distinctions between the two dissolved. Many artists created drawings specifically intended for translation into print, and an even greater number used prints as a training tool, copying from them to hone drawing skills. This reciprocal relationship goes even deeper, however, as innovative artists made fascinating hybrid works that blurred the boundaries between the two media, pushing against modern definitions and hierarchies. Lines of Connection charts these historical and geographical continuities for the first time by bringing together works on paper of superb quality, foregrounding issues of artistic process and collaboration, technical innovation, and creative ingenuity. Featuring over 170 prints and drawings by such artists as Albrecht Dürer, Parmigianino, Hendrick Goltzius, Maria Sibylla Merian, Rembrandt van Rijn, and William Blake, this catalogue is a rich narrative introduction to the compelling, yet understudied, relationship between drawing and printmaking.
Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It's a seamless journey in becoming a full-stack R developer. What You Will Learn Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Handle missing data gracefully using multiple imputation Create diverse types of bar charts using the default R functions Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on Understand relationships between market factors and their impact on your portfolio Harness the power of R to build machine learning algorithms with real-world data science applications Learn specialized machine learning techniques for text mining, big data, and more In Detail The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on. Style and approach Learn data analysis, data visualization techniques, data mining, and machine learning all using R and also learn to build models in quantitative finance using this powerful language.
A richly illustrated, comprehensive introduction to the visionary artist William Blake. William Blake (1757–1827) is a universal artist—an inspiration to musicians, poets, performers, and visual artists worldwide. By combining his poetry and images on the page through radical printing techniques, Blake created some of the most striking and enduring images in art. His personal struggles in a period of political terror and oppression; creativity, inventiveness, and technical innovation; and vision and political commitment keep his work relevant today. Featuring over 130 color images, this accessible yet comprehensive introduction to Blake’s achievements and ambition includes discussions of his legacy in America; relationship to the medieval, Renaissance, and Baroque artists who preceded him; visionary imagination; and unparalleled skill as a printmaker.
In this scholarly yet intensely personal history, author Edina Becirevic explores the widespread ethnic cleansing that occurred in Bosnia and Herzegovina from 1992 through 1995, war crimes and crimes against humanity committed by Serbs against Bosnian Muslims that fully meet the criteria for genocide established after World War II by the Genocide Convention of 1948. An in-depth study of the devastating and dehumanizing effects of genocide on individual destinies and the mechanisms of its denial in Bosnia and Herzegovina, Becirevic's essential history contextualizes the East Bosnian program of atrocities with respect to broader scholarly debates about the nature of genocide.
Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It's a seamless journey in becoming a full-stack R developer. What You Will Learn Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Handle missing data gracefully using multiple imputation Create diverse types of bar charts using the default R functions Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on Understand relationships between market factors and their impact on your portfolio Harness the power of R to build machine learning algorithms with real-world data science applications Learn specialized machine learning techniques for text mining, big data, and more In Detail The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on. Style and approach Learn data analysis, data visualization techniques, data mining, and machine learning all using R and also learn to build models in quantitative finance using this powerful language.
Three days. A grand prize. Unlikely players. Dan is an average eighteen-year-old nerd with an irrational fear of making phone calls and a preference for spending his evenings playing tabletop games with his mom. When a friend asks for help in a city-wide scavenger hunt, Dan lets his trusted dice decide his fate. To his dismay, the roll launches him into a whirlwind adventure he's definitely not prepared for. But with a fifty-thousand-euro prize that could pay for his mother’s surgery, it's a risk worth taking. From the crypts of St. Stephen’s Cathedral, through a freezing maze at Schönbrunn Palace, to the grand Viennese ball at the National Opera, Dan and his team scour Vienna for clues hidden in historical landmarks, uncovering the city's mysteries along with each other's secrets. But when Dan faces his worst fears, can he rise to the challenge and win the contest before time runs out? Let the Hunt begin. Filled with witty banter, nerdy references, and unexpected twists, this thrilling coming of age adventure tackles themes of mental health, self-discovery, and friendship, while showing that sometimes the most memorable moments in life happen when you let go and let the dice roll. Perfect for fans of John Green and Alice Oseman.
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