#1 New York Times bestseller Mike Lupica makes his return to the basketball court! There's a reason teammates call him "True." Because for basketball phenom Drew Robinson, there is nothing more true than his talent on the court. It's the kind that comes along once in a generation and is loaded with perks--and with problems. Before long, True buys in to his own hype, much to the chagrin of his mother, who wants to keep her boy's head grounded--and suddenly trouble has a way of finding him. That is, until a washed-up former playground legend steps back onto the court and takes True under his wing.

A 2024 Washington Children's Choice Award Nominee A funny picture book celebrating the universal truth about wanting to be loved just as you are, fangs and all, inspired by the real-life legend of Mongolian Death Worms. Like the ongoing search for Big Foot and the Loch Ness Monster, scientists have searched the Gobi Desert for these giant worms. Reported sightings claim that their skin is blood red; their fangs razor sharp. The worms are supposedly poisonous and electrifying . . . or are they? In this funny story, we meet the Mongolian Death Worm family: Beverly, Trevor, Neville and Kevin. In spite of their deadly reputation, they’re determined to make nice and win over the other animals. Their overtures of friendship are . . . not reciprocated. But when disaster strikes, it’s the Mongolian Death Worm family to the rescue! With additional information about the legend, this book is perfect for storytime and discussions of legends and science. Perfect for fans of Ben Clanton, Sandra Fay's The Very True Legend of the Mongolian Death Worms will leave readers of all ages laughing and heartwarmed! Godwin Books

"Legend doesn't merely survive the hype, it deserves it." From the New York Times bestselling author of The Young Elites What was once the western United States is now home to the Republic, a nation perpetually at war with its neighbors. Born into an elite family in one of the Republic's wealthiest districts, fifteen-year-old June is a prodigy being groomed for success in the Republic's highest military circles. Born into the slums, fifteen-year-old Day is the country's most wanted criminal. But his motives may not be as malicious as they seem. From very different worlds, June and Day have no reason to cross paths - until the day June's brother, Metias, is murdered and Day becomes the prime suspect. Caught in the ultimate game of cat and mouse, Day is in a race for his family's survival, while June seeks to avenge Metias's death. But in a shocking turn of events, the two uncover the truth of what has really brought them together, and the sinister lengths their country will go to keep its secrets. Full of nonstop action, suspense, and romance, this novel is sure to move readers as much as it thrills.

The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science. Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

This true story is about one person standing up to some of the most vicious bullies, gangsters, gang members, gang leaders, killers, and criminals without using a gun, knife or his H corner block voice. This person stood on the side of right, which caused him to have 100 street fights, jump in on five times, stab a few times, shot at a few times, maliciously beaten a few times, guns pulled on him in his face and there is much much more to this true story that ultimately lead to this person becoming a legend of his time and a 10 * Star OG. He attributes God allowing him to live to tell his story.

From the #1 New York Times bestselling author of HEAT, TRAVEL TEAM and MILLION-DOLLAR THROW comes a story of every football kid’s dream come true. 12-year-old Charlie is a fantasy football guru. He may be just a bench warmer for his school's football team, but when it comes to knowing and loving the game, he's first-string. He even becomes a celebrity when his podcast gets noticed by a sports radio host, who plays Charlie's fantasy picks for all of Los Angeles to hear. Soon Charlie befriends the elderly owner of the L.A. Bulldogs -- a fictional NFL team -- and convinces him to take a chance on an aging quarterback. After that, watch out . . . it's press conferences and national fame as Charlie becomes a media curiosity and source of conflict for the Bulldogs general manager, whose job Charlie seems to have taken. It's all a bit much for a kid just trying to stay on top of his grades and maintain his friendship with his verbal sparring partner, Anna. Like the best Disney film in book form, like Moneyball for kids, Fantasy League is every football kid's dream scenario. “Lupica is the greatest sports writer for middle school readers.” –VOYA

An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: Thorough introductions to deep learning and deep learning tools Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures Practical discussions of recurrent neural networks and non-supervised approaches to deep learning Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networks Perfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general.

This work focuses on English cultural attitudes toward Jews from roughly 1660 to 1830. Frank Felsenstein describes the persistence through the period of certain negative biases that, in many cases, can be traced back at least to the late Middle Ages

Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming. R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression Provides beginning programming instruction for those who want to write their own scripts Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.

The study of biological data is constantly undergoing profound changes. Firstly, the volume of data available has increased considerably due to new high throughput techniques used for experiments. Secondly, the remarkable progress in both computational and statistical analysis methods and infrastructures has made it possible to process these voluminous data. The resulting challenge concerns our ability to integrate these data, i.e. to use their complementary nature effectively in the hope of advancing our knowledge. Therefore, a major challenge in studying biology today is integrating data for the most exhaustive analysis possible. Biological Data Integration deals in a pedagogical way with research work in biological data science, examining both computational approaches to data integration and statistical approaches to the integration of omics data