The Beet Queen

The Beet Queen

Author: Louise Erdrich

Publisher: Harper Perennial

Published: 1998-04

Total Pages: 356

ISBN-13:

DOWNLOAD EBOOK

Orphaned fourteen-year-old Carl and his eleven-year-old sister, Mary, travel to Argus, North Dakota, to live with their mother's sister, in this tale of abandonment, sexual obsession, jealousy and unstinting love.


The Intelligence of Dogs

The Intelligence of Dogs

Author: Stanley Coren

Publisher: Simon and Schuster

Published: 2006-01-05

Total Pages: 322

ISBN-13: 0743280873

DOWNLOAD EBOOK

Combining heroic stories of dogs with the latest scientific and psychological information, this book has provoked controversy with its lists that rank more than 100 breeds and its exciting new insights into the thoughts, emotions, and inner lives of dogs.


Love Saves the Day

Love Saves the Day

Author: Gwen Cooper

Publisher: Bantam

Published: 2013-01-15

Total Pages: 337

ISBN-13: 0345526961

DOWNLOAD EBOOK

From the author of the New York Times bestselling memoir Homer’s Odyssey comes a tender, joyful, utterly unforgettable novel, primarily told through the eyes of the most observant member of any human family: the cat. Humans best understand the truth of things if they come at it indirectly. Like how sometimes the best way to catch a mouse that’s right in front of you is to back up before you pounce. So notes Prudence, the irresistible brown tabby at the center of Gwen Cooper’s tender, joyful, utterly unforgettable novel, which is mostly told through the eyes of this curious (and occasionally cranky) feline. When five-week-old Prudence meets a woman named Sarah in a deserted construction site on Manhattan’s Lower East Side, she knows she’s found the human she was meant to adopt. For three years their lives are filled with laughter, tuna, catnaps, music, and the unchanging routines Prudence craves. Then one day Sarah doesn’t come home. From Prudence’s perch on the windowsill she sees Laura, the daughter who hardly ever comes to visit Sarah, arrive with her new husband. They’re carrying boxes. Before they even get to the front door, Prudence realizes that her life has changed forever. Suddenly Prudence finds herself living in a strange apartment with humans she barely knows. It could take years to train them in the feline courtesies and customs (for example, a cat should always be fed before the humans, and at the same exact time every day) that Sarah understood so well. Prudence clings to the hope that Sarah will come back for her while Laura, a rising young corporate attorney, tries to push away memories of her mother and the tumultuous childhood spent in her mother’s dusty downtown record store. But the secret joys, past hurts, and life-changing moments that make every mother-daughter relationship special will come to the surface. With Prudence’s help Laura will learn that the past, like a mother’s love, never dies. Poignant, insightful, and laugh-out-loud funny, Love Saves the Day is a story of hope, healing, and how the love of an animal can make all of us better humans. It’s the story of a mother and daughter divided by the turmoil of bohemian New York, and the opinionated, irrepressible feline who will become the bridge between them. It’s a novel for anyone who’s ever lost a loved one, wondered what their cat was really thinking, or fallen asleep with a purring feline nestled in their arms. Prudence, a cat like no other, is sure to steal your heart. Praise for Love Saves the Day “Prudence [is a] sassy but sensitive feline heroine.”—Time “Unforgettably moving . . . a hard one to put down.”—Modern Cat “If you are the Most Important Person to a cat, you will hold them much tighter by the book’s end. If you don’t have a cat, Prudence will have surreptitiously lured you into the danger zone: Falling in love with a cat because they need family, too.”—The Vancouver Sun “Cooper brings readers a fictional tale that cat lovers will treasure. . . . This book will make most readers laugh and cry, and probably lead them to wonder more often what, exactly, their pet is thinking.”—Fredericksburg Free Lance–Star “The interspersed viewpoints . . . enrich Cooper’s sensitively told novel that unravels a story (based on actual events) about a century-old tenement building—and the inhabitants therein. That story ultimately serves as the basis to understanding the emotional subtexts of these authentic, well-drawn characters.”—Shelf Awareness


Poppies, Politics, and Power

Poppies, Politics, and Power

Author: James Tharin Bradford

Publisher: Cornell University Press

Published: 2019-06-15

Total Pages: 296

ISBN-13: 1501738348

DOWNLOAD EBOOK

Historians have long neglected Afghanistan's broader history when portraying the opium industry. But in Poppies, Politics, and Power, James Tharin Bradford rebalances the discourse, showing that it is not the past forty years of lawlessness that makes the opium industry what it is, but the sheer breadth of the twentieth-century Afghanistan experience. Rather than byproducts of a failed contemporary system, argues Bradford, drugs, especially opium, were critical components in the formation and failure of the Afghan state. In this history of drugs and drug control in Afghanistan, Bradford shows us how the country moved from licit supply of the global opium trade to one of the major suppliers of hashish and opium through changes in drug control policy shaped largely by the outside force of the United States. Poppies, Politics, and Power breaks the conventional modes of national histories that fail to fully encapsulate the global nature of the drug trade. By providing a global history of opium within the borders of Afghanistan, Bradford demonstrates that the country's drug trade and the government's position on that trade were shaped by the global illegal market and international efforts to suppress it. By weaving together this global history of the drug trade and drug policy with the formation of the Afghan state and issues within Afghan political culture, Bradford completely recasts the current Afghan, and global, drug trade.


101 Uses for a Pug

101 Uses for a Pug

Author: Willow Creek Press

Publisher:

Published: 2013

Total Pages: 0

ISBN-13: 9781623430320

DOWNLOAD EBOOK

Looking at them, you would never guess that pugs can be so useful and versatile. Yet, if you watch them closely, it s clear to see that these dynamic dogs perform scores of tasks. This book provides photographic proof of pugs functioning as car security systems, weed killers, moist towelettes, foot warmers, and more. In need of some minor garment alterations? Look no further than an industrious pug! A total of 101 uses for a pug reveal why these dogs are so lovable and popular.


The Storyteller's Thesaurus

The Storyteller's Thesaurus

Author: Troll Lord Games

Publisher: Troll Lord Games

Published: 2015-04-30

Total Pages: 551

ISBN-13: 9781936822355

DOWNLOAD EBOOK

Writers, game designers, teachers, and students ~this is the book youve been waiting for! Written by storytellers for storytellers, this volume offers an entirely new approach to word finding. Browse the pages within to see what makes this book different:


Knowledge is Beautiful

Knowledge is Beautiful

Author: David McCandless

Publisher: Collins

Published: 2014-09-25

Total Pages: 255

ISBN-13: 9780007427925

DOWNLOAD EBOOK

A fascinating and thoroughly modern glimpse of world knowledge. It offers a deeper, more ranging look at the world and its history, and an entirely democratic, global look at key issues bedded into the foundations of world knowledge - from questions and facts on history and politics to science, literature and more.


Probabilistic Deep Learning

Probabilistic Deep Learning

Author: Oliver Duerr

Publisher: Manning Publications

Published: 2020-11-10

Total Pages: 294

ISBN-13: 1617296074

DOWNLOAD EBOOK

Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications. Summary Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability teaches the increasingly popular probabilistic approach to deep learning that allows you to refine your results more quickly and accurately without much trial-and-error testing. Emphasizing practical techniques that use the Python-based Tensorflow Probability Framework, you’ll learn to build highly-performant deep learning applications that can reliably handle the noise and uncertainty of real-world data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology The world is a noisy and uncertain place. Probabilistic deep learning models capture that noise and uncertainty, pulling it into real-world scenarios. Crucial for self-driving cars and scientific testing, these techniques help deep learning engineers assess the accuracy of their results, spot errors, and improve their understanding of how algorithms work. About the book Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications. What's inside Explore maximum likelihood and the statistical basis of deep learning Discover probabilistic models that can indicate possible outcomes Learn to use normalizing flows for modeling and generating complex distributions Use Bayesian neural networks to access the uncertainty in the model About the reader For experienced machine learning developers. About the author Oliver Dürr is a professor at the University of Applied Sciences in Konstanz, Germany. Beate Sick holds a chair for applied statistics at ZHAW and works as a researcher and lecturer at the University of Zurich. Elvis Murina is a data scientist. Table of Contents PART 1 - BASICS OF DEEP LEARNING 1 Introduction to probabilistic deep learning 2 Neural network architectures 3 Principles of curve fitting PART 2 - MAXIMUM LIKELIHOOD APPROACHES FOR PROBABILISTIC DL MODELS 4 Building loss functions with the likelihood approach 5 Probabilistic deep learning models with TensorFlow Probability 6 Probabilistic deep learning models in the wild PART 3 - BAYESIAN APPROACHES FOR PROBABILISTIC DL MODELS 7 Bayesian learning 8 Bayesian neural networks