Learning from Wolves

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif

An exhilarating new series set in the great outdoors, from HOTEL FLAMINGO author Alex MilwayWelcome to Big Sky Mountain: a home for everyone!Rosa is getting used to life on Big Sky Mountain with Grandma Nan, Albert the moose and Little Pig the pygmy owl. It's busy work living in the wilderness, and there seems to be an adventure round every corner. When a storm rages over the mountain one night and a little lost wolf cub appears at Rosa's door, Rosa and Grandma Nan set off to return the cub to her pack. But it's not easy - they've got to go deep into the forest, and everyone knows that wolves are really dangerous and scary - aren't they?

A heartbreaking, untold story of World War II from award-winning Australian author Katrina Nannestad, perfect for 9+ readers and fans of Michael Morpurgo, Goodnight Mr Tom and I am David. 'It's the small acts of human kindness that make this book sing. Heart-swelling, and with characters that won't be forgotten.' Zana Fraillon, award-winning author of The Bone Sparrow When the Russian Army marches into East Prussia at the end of the Second World War, the Wolf family must flee.Liesl, Otto and their baby sister Mia find themselves lost and alone, in a blizzard, in the middle of a war zone. Liesl has promised Mama that she will keep her brother and sister safe. But sometimes, to survive, you have to do bad things.Dangerous things. Wild things. Sometimes to survive, you must become a wolf.A story of hope, survival and the refugee experience that is both timeless and incredibly timely, and set to become a modern classic.

From the author of the beloved national bestseller Migrations, a #1 IndieNext pick and Amazon’s Best Novel of 2020, a gorgeous and pulse-pounding new novel set in the wild Scottish HighlandsInti Flynn

Priddy Learning: My First Let's Spell is a new learning format from Priddy Books including an alphabet flip-chart and a lift-the-flap board book. It is perfect for helping young children learn to reco

In fairy tales, the wolf's cry makes people shudder. They've been hunted, captured. But the wolf carries a wild magic - a magic that once restored a barren land. When wolves disappeared from Yellowsto

With lyrical text by Kersten Hamilton and luminous illustrations by Jaime Kim, First Friend is an exploration of how the wild wolves became dogs, and how we learned to communicate and grow alongside t

Echoes from the past, intimations of the future, Wild West Americana, the roots of Viennese psychoanalysis, issues of gun control and violence against women, and time travel come together in a genre-defying novel that explores the impact of abuse and the cost of revenge.Ruth McClintock is obsessed with the past. For nearly a decade, she has been studying Annie Oakley, convinced that the legendary sharpshooter experienced a traumatic event in adolescence that led her to fight for the right of every American woman to own and operate a gun. This fruitless search has cost Ruth her doctorate, a book deal, and her fiancé, Scott. But Ruth may finally have the evidence she is looking for. She has managed to hunt down a journal purporting to be a "true account" of Oakley's mid-life struggles, including secret visits to psychologist Josef Breuer and the desire for vengeance against the "wolves," or the men who have wronged her. With the help of Reece, a tech-savvy senior at the local high school

The Democrats' decision to nominate Joe Biden for 2020 was hardly a fluke but rather a strategic choice by a party that had elevated electability above all other concerns. In Learning from Loss, one of the nation's leading political analysts offers unique insight into the Democratic Party at a moment of uncertainty. Between 2017 and 2020, Seth Masket spoke with Democratic Party activists and followed the behavior of party leaders and donors to learn how the party was interpreting the 2016 election and thinking about a nominee for 2020. Masket traces the persistence of party factions and shows how interpretations of 2016 shaped strategic choices for 2020. Although diverse narratives emerged to explain defeat in 2016 - ranging from a focus on 'identity politics' to concerns about Clinton as a flawed candidate - these narratives collectively cleared the path for Biden.

This preschool sticker-based learning book features number-themed Hidden Pictures puzzles and other activities designed to teach and reinforce number recognition and counting from 0 to 12 in a fun, st

As the western world struggles with its legacies of racism and colonialism, what can we learn from the past in order to move forward? Susan Neiman's Learning from the Germans delivers an urgently nee