Big Machine Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Big Machine book. This book definitely worth reading, it is an incredibly well-written.
Ricky Rice is a middling hustler with a lingering junk habit, a bum knee, and a haunted mind. A survivor of a suicide cult, he scrapes by as a porter at a bus depot in Utica, New York, until one day a mysterious letter arrives, summoning him to enlist in a band of paranormal investigators comprised of former addicts and petty criminals, all of whom had at some point in their wasted lives heard what may have been the voice of God. Infused with the wonder of a disquieting dream and laced with Victor LaValle’s fiendish comic sensibility, Big Machine is a mind-rattling mystery about doubt, faith, and the monsters we carry within us.
In The Big Red Machine, astute Liberal observer Stephen Clarkson tells the story of the Liberal Party's performance in the last nine elections, providing essential historical context for each and offering incisive, behind-the-scenes detail about how the party has planned, changed, and executed its successful electoral strategies. Arguing that the Liberal Party has opportunistically straddled the political centre since Sir John A. Macdonald -- leaning left or moving right and as circumstances required -- Clarkson also shows that the party's grip on power is becoming increasingly uncertain, having lost its appeal not just in the West, but now in Qu�bec. Its campaigns now reflect the splintering of the party system and the integration of Canada into the global economy.
Open out the giant fold-out pages to find out about some of the world's biggest, strongest and tallest machines. Full of the world’s biggest machines found on building sites, farms, airports and dockyards including one of the biggest machines ever, the bucket-wheel excavator used in mining. For the biggest of machines, the book includes two giant foldout pages. This attractive picture book format replaces the original board book format, ISBN 9781409507314.
Don't have a CS degree? Neither does Rob. That's why he wrote this book: to fill the gaps in his career. The result? Over 450 pages of essentials skills and ideas every developer should know with illustrations by the author, who loves to sketch. An illustrated CS Primer, if you will. Rob is a self-taught software developer (like so many) and for most of his career he learned what was required to get the job done. When conversations veered toward core concepts, he disengaged. Rob decided to change all of this in 2014. He sat down and looked up all of the topics that a typical CS degree covers and then dove in. Half way through, he decided to write a book about what he was learning. That book is The Imposter's Handbook, a compendium of useful programming concepts from Algorithms to Complexity Theory, TDD to Garbage Collection. Things you should really know if you're paid to write software.
An inside account of the Progressive Conservative’s campaign organization. The Progressive Conservative Party’s “big blue machine” pioneered electoral techniques of centralized control, communications, campaign advertising, polling, policy-presentation, and fund-raising. Inspired by Dalton Camp and Norman Atkins, its widespread yet close-knit network of organizers and specialists changed how Canadian campaigns were fought, even as their “political machine” transformed Canadian public life itself. J. Patrick Boyer’s behind-the-scenes account reveals how and why the blue machine’s campaign innovations (most imported from the U.S.) transformed Canadian politics forever. Boyer’s direct experience in these changes, and interviews with key players from Tory backrooms, enrich his authentic and timely account. This saga of the formidable campaign organization operating inside the Progressive Conservative Party for more than four decades shows why the big blue machine deservedly became a Canadian political legend.
The true story of what happened the first time machines came for human jobs, when an underground network of 19th century rebels, the Luddites, took up arms against the industrialists that were automating their work--and how it explains the power, threat, and toll of big tech today. The most pressing story in modern tech begins not in Silicon Valley, Seattle, or even Shenzhen. It begins two hundred years ago in rural England, when working men and women rose up en masse rather than starve at the hands of the factory owners who were using machines to erase and degrade their livelihoods. They organized guerilla raids, smashed those machines, and embarked on full-scale assaults against the wealthy machine owners. They won the support of Lord Byron, inspired Mary Shelley, and enraged the Prince Regent and his bloodthirsty government. Before it was over, much blood would be spilled--of rich and poor, of the invisible and of the powerful. This all-but-forgotten and deeply misunderstood class struggle nearly brought 19th century England to its knees. We live now in the second machine age, when similar fears that big tech is dominating our lives and machines replacing human labor run high. We worry that technology imperils millions of jobs, robots are ousting workers from factories, and artificial intelligence will soon remove drivers from cars. How will this all reshape our economy and the way we live? And what can we do about it? The answers lie in the story of our first machine age, when mechanization first came to British factories at the beginning of the industrial revolution. Intertwined with a lucid examination of our current age, the story of the Luddites, the working-class insurgency that took up arms against automation (at a time when it was punishable by death to break a machine), Blood in the Machine reaches through time and space to tell a story about how technology changed our world--and how it's already changing our future.
On the trail to America's signature spirit! The definitive field guide to the American Whiskey Trail! Big Whiskey features profiles of distilleries new and old, interviews with distillers and blenders, cocktail recipes, tasting notes, food pairings, and rare bottles. Discover the storied history and renaissance of America's premier whiskey region with this definitive field guide to its signature spirit. Devoted entirely to the quintessential American whiskeys of Kentucky and Tennessee, Big Whiskey takes you behind the scenes at distilleries throughout both states. This book is bursting with in-depth, up-to-date profiles from esteemed heritage brands to distilleries whose first barrels are still aging. This elegant book includes: *fascinating interviews with Master Distillers, *profiles on 80 distilleries and even more labels, *incredible histories and facts about North America's most influential whiskey region, *stunning, original photography from the trails. Whether you're a seasoned connoisseur or are simply looking to discover the difference between bourbon and Tennessee whiskey, Big Whiskey is your essential guide to America's whiskey trails.
Big Data 2.0 Processing Systems by Sherif Sakr Pdf
This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.
Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz Pdf
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
FM8501: A Verified Microprocessor by Warren A. Hunt Pdf
This book, written for a wide readership with some background in the natural sciences, addresses the very old problem of the mind-brain-relationship. The authors, all well-known scientists, approach the subject in different stages. The first part addresses some general principles based on physics, computer science, and theoretical biology. The two following parts deal with the problem at different organizational levels, from the microscopic to the macroscopic. The fourth part addresses the subjective level founded on the findings of psychologists and neurophysiologists.
A New York Times-bestselling duo pays tribute to the storied life of Virginia Lee Burton, creator of Mike Mulligan and His Steam Shovel and one of the most beloved authors in children's literature. Full color. 9 x 9.
Big Papa and the Time Machine by Daniel Bernstrom Pdf
Discover the true meaning of being brave in this tender and whimsical picture book from Daniel Bernstrom (One Day in the Eucalytus, Eucalyptus Tree) and Shane Evans (Chocolate Me!) that follows a grandfather and grandson who travel through time in a beloved 1952 Ford. A little boy who lives with his grandpa isn't reprimanded for being afraid to go to school one day. Instead, Big Papa takes him away in his time machine--a 1952 Ford--back to all of the times when he, himself, was scared of something life was handing him. Full of heartfelt moments and thrilling magical realism, Big Papa and the Time Machine speaks to the African American experience in a touching dialogue between two family members from different generations, and emerges as a voice that shares history and asks questions about one family's experience in 20th-century black America. "Wasn't you scared?" "Oh, I was scared," Big Papa said. "Sometimes you gotta walk with giants if you ever gonna know what you made of. That's called being brave."