I’m definitely having a midlife crisis…I didn’t expect to be single at forty-five, but I’ve always prided myself on facing up to a challenge. A new town, a better job, and a cozy cottage of my own are all at the top of my To Do list. A new man? Right at the bottom. I’m far too busy for love.Returning to the Devon village of Crows Tor on Dartmoor brings a new lease of life for me – in more ways than one. It turns out my old school friend, Fiona, makes a secret moonshine at her whisky distillery using spring water collected under the full moon. Apparently it enhances your psychic powers, and she tempts me to have a shot… or three.I’m thrilled at the prospect of developing my psychic abilities. And then I look into a crystal ball at the May Day fair and have a vision of a murder. Suddenly it’s not such a fun idea after all, especially when my prediction comes true. Consumed by guilt because I didn’t warn the victim, I’m determined to find the killer, even if it puts me in the very path of danger…*The Midlife Moonshine stories are set on Dartmoor in Devon, England, and contain British English spelling and usage. They are clean reads with no graphic violence, strong language, or sex, but they’re packed with magic, mystery, romance, and history – all starring women in the prime of midlife!

    It doesn't shy away from the full range of viewpoints or from the most controversial issues--from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.

    Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces T-SQL's roots and underlying logic. Next, it walks you through core topics such as single-table queries, joins, subqueries, table expressions, and set operators. Then the book covers more-advanced data-query topics such as window functions, pivoting, and grouping sets. The book also explains how to modify data, work with temporal tables, and handle transactions, and provides an overview of programmable objects. Microsoft Data Platform MVP Itzik Ben-Gan shows you how to: Review core SQL concepts and its mathematical roots Create tables and enforce data integrity Perform effective single-table queries by using the SELECT statement Query multiple tables by using joins, subqueries, table expressions, and set operators Use advanced query techniques such as window functions, pivoting, and grouping sets Insert, update, delete, and merge data Use transactions in a concurrent environment Get started with programmable objects-from variables and batches to user-defined functions, stored procedures, triggers, and dynamic SQL

    The ship contains an experimental quantum device, lost while en route to a research colony on Europa. On Earth, powerful corporate forces are moving to resume unrestricted, inter-AI communications, their objective being to gain complete dominion over the colonized solar system. But the outer worlds are mobilizing to prevent them from achieving their objective, a fight back which is being led by Solomon, a sentient quantum intelligence (QI), also on Europa. However, once word of the crew’s discovery gets out, they soon realize that ownership of this technology could fundamentally change the balance of power within the solar system, and they now find themselves at the very nexus of a system-wide conflict. Their fight for survival plays out across the solar system, from the mining outposts of the asteroid belt to the moons of Jupiter and Saturn, and from the great Martian city of Jezero to the irradiated wastelands on Earth. This is an epic tale of humanity’s struggle for survival and meaning in a time when artificial intelligence has finally out-paced our own ability to control it. About The Belt: The story is set a century or so into the future where humanity has colonized most of the inner solar system. The asteroid belt (The Belt) is now a hive of mining activity and ships ply the trade routes to Earth and Mars. The technology depicted, for the most part, is what I consider to be technically plausible, although I do stretch it a little with quantum entanglement. That said, you won’t need a calculator or a slide-rule to enjoy the story.

    The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful--possibly beyond our control. As the fate of the gorillas now depends more on humans than on the species itself, so would the fate of humankind depend on the actions of the machine superintelligence.But we have one advantage: we get to make the first move. Will it be possible to construct a seed Artificial Intelligence, to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation?

    But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your work

    What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be.A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far.Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know--our own.

    But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources.Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you'll also learn how to make it sing.With this book, you'll explore:How Spark SQL's new interfaces improve performance over SQL's RDD data structureThe choice between data joins in Core Spark and Spark SQLTechniques for getting the most out of standard RDD transformationsHow to work around performance issues in Spark's key/value pair paradigmWriting high-performance Spark code without Scala or the JVMHow to test for functionality and performance when applying suggested improvementsUsing Spark MLlib and Spark ML machine learning librariesSpark's Streaming components and external community packages

    Drawing on new translations of Mutis's nearly forgotten writings, this fascinating story of scientific adventure in eighteenth-century South America retrieves Mutis's contributions from obscurity.In 1760, the 28-year-old Mutis—newly appointed as the personal physician of the Viceroy of the New Kingdom of Granada—embarked on a 48-year exploration of the natural world of northern South America. His thirst for knowledge led Mutis to study the region's flora, become a professor of mathematics, construct the first astronomical observatory in the Western Hemisphere, and amass one of the largest scientific libraries in the world. He translated Newton's writings and penned essays about Copernicus; lectured extensively on astronomy, geography, and meteorology; and eventually became a priest. But, as two-time Pulitzer Prize–winner Edward O. Wilson and Spanish natural history scholar José M. Gómez Durán reveal in this enjoyable and illustrative account, one of Mutis's most magnificent accomplishments involved ants.Acting at the urging of Carl Linnaeus—the father of taxonomy—shortly after he arrived in the New Kingdom of Granada, Mutis began studying the ants that swarmed everywhere. Though he lacked any entomological training, Mutis built his own classification for the species he found and named at a time when New World entomology was largely nonexistent. His unorthodox catalog of army ants, leafcutters, and other six-legged creatures found along the banks of the Magdalena provided a starting point for future study.Wilson and Durán weave a compelling, fast-paced story of ants on the march and the eighteenth-century scientist who followed them. A unique glance into the early world of science exploration, Kingdom of Ants is a delight to read and filled with intriguing information.

    We’ve comea long way since then. With this book, Drs. Romero and Balch liftthe veil from many of these once-opaque concepts in high-techfinance. We can all benefit from learning how the cooperationbetween wetware and software creates fitter models. This bookdoes a fantastic job describing how the latest advances in financialmodeling and data science help today’s portfolio managerssolve these greater riddles. —Michael Himmel, ManagingPartner, Essex Asset ManagementI applaud Phil Romero’s willingness to write about the hedgefund world, an industry that is very private, often flamboyant,and easily misunderstood. As with every sector of the investmentlandscape, the hedge fund industry varies dramaticallyfrom quantitative “black box” technology, to fundamental researchand old-fashioned stock picking. This book helps investorsdistinguish between these diverse opposites and understandtheir place in the new evolving world of finance. —Mick Elfers,Founder and Chief Investment Strategist, Irvington Capital

      Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

    Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud-computing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.

    Learn about the components of a BI architecture, how to choose the appropriate tools and technologies, and how to roll out a BI strategy throughout the organisation.

    

    Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.