They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals.Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.This revised and fully updated edition contains several new sections and chapters, covering a broader set of topics than before, but retains the no-nonsense style of the original.Steven Finlay is a data scientist and author with more than 20 years’ experience of developing practical, business focused, analytical solutions. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK.

    Part tutorial and part reference, the book serves as a learning tool for building new JavaScript skills and a detailed reference for seasoned JavaScript developers. Danny Goodman's exclusive interactive workbench, The Evaluator, makes it easy to master JavaScript and DOM concepts. Offers deployment strategies that best suit the user's content goals and target audience.Bonus CD-ROM is packed with advanced content for the reader who wants to go an extra step.

    

    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.

    Then the blue-skinned ogre tore through the mall. The elf and I made a quick escape and ended up in a strange fantasy world.Now, I’m finding out that the elves have been in decline for centuries and are being hunted to extinction for their magical abilities.They need someone to help them. Someone to protect them. Someone with magical powers that could make elves strong like they used to be.Apparently, I’m that someone. And there are a whole lot of elf species who could use my protection.

    A desperate quest for an enchanted relic. The final battle to save mankind from extinction.1,100 pages of epic fantasy filled with magic, mystery, and monsters._________________________________Meet the heroes of Issalia:Brock is a downtrodden teen behind a false identity. Within a school for the elite, he discovers a long-forgotten magic. Can he tame his frightening new abilities?Ashland trains as a magic-based healer until she discovers conspiracies the empire is protecting. Determined to pursue a better future, she must overcome her troubled past.Cameron, an imposing warrior with legendary bloodlines, trains to become the greatest swordsman of his generation. Can he escape his father's shadow?Benny's inventions amaze his peers and superiors until he combines magic with science, and changes his world forever. If only he understood the destruction he would cause.Parker is an archer whose father is a powerful empire leader. What will the man do when he discovers his son's betrayal?Tenzi, a sailor and expert knife thrower, becomes embroiled in a struggle to save her world. Will her courage be sufficient when faced by a horde of giant monsters?_______________________________Includes the COMPLETE Runes of Issalia trilogy and the aftermath novella, ICON, books combining for over 250 5-star Amazon reviews, and 700 Goodreads 5-star ratings.Books in this boxed set:The Buried Symbol: Runes of Issalia, Book IThe Emblem Throne: Runes of Issalia, Book IIAn Empire in Runes: Runes of Issalia, Book IIIICON: An Issalia companion tale EXCLUSIVE to this set

    A monster, responsible for unspeakable acts, not limited to this world. Set in the aftermath of September 11th, the city of Chicago feels a sense of impending danger, fearing a similar tragedy could occur. A fast paced horror odyssey, which all begins on Halloween.Part of a series of interconnected horror novels that can be read in any order. Each book serves as a stand alone story, yet builds a greater picture behind a sinister mystery in Chicago.

    This is a great how to draw book for kids!In this beginners drawing book, every mini drawing lesson is broken down into easy to follow step by step instructions.Let your kids learn to draw because kids that draw:✅ Develops Fine Motor Skills✅ Encourages Visual Analysis✅ Helps Establish Concentration✅ Improves Hand-Eye Coordination✅ Increases Individual Confidence✅ Teaches Creative Problem SolvingThis learn to draw books for kids is perfect for kids 09 - 12, but also for kids age 04 - 08 with a high interest in drawing will be able to follow the instructions easily as well.This How to Draw Anime: Step by Step beginners drawing for kids is the only sketch book for kids you'll need to turn your kids' creativity into artistic confidence, by having them learn how to draw cool stuff!

    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

    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

    Tracy Kidder got a preview of this world in the late 1970s when he observed the engineers of Data General design and build a new 32-bit minicomputer in just one year. His thoughtful, prescient book, The Soul of a New Machine, tells stories of 35-year-old "veteran" engineers hiring recent college graduates and encouraging them to work harder and faster on complex and difficult projects, exploiting the youngsters' ignorance of normal scheduling processes while engendering a new kind of work ethic.These days, we are used to the "total commitment" philosophy of managing technical creation, but Kidder was surprised and even a little alarmed at the obsessions and compulsions he found. From in-house political struggles to workers being permitted to tease management to marathon 24-hour work sessions, The Soul of a New Machine explores concepts that already seem familiar, even old-hat, less than 20 years later. Kidder plainly admires his subjects; while he admits to hopeless confusion about their work, he finds their dedication heroic. The reader wonders, though, what will become of it all, now and in the future. —Rob Lightner

    The authors of this collaboratively written book treat code not as merely functional but as a text—in the case of 10 PRINT, a text that appeared in many different printed sources—that yields a story about its making, its purpose, its assumptions, and more. They consider randomness and regularity in computing and art, the maze in culture, the popular BASIC programming language, and the highly influential Commodore 64 computer.

    The emphasis throughout is on fundamental concepts--readers learn important ideas, not minor language differences--but several languages are highlighted in sufficient detail to enable readers to write programs that demonstrate the relationship between a source program and its execution behavior--e.g., C, C++, JAVA, ML, LISP, Prolog, Smalltalk, Postscript, HTML, PERL, FORTRAN, Ada, COBOL, BASIC SNOBOL4, PL/I, Pascal. Begins with a background review of programming languages and the underlying hardware that will execute the given program; then covers the underlying grammatical model for programming languages and their compilers (elementary data types, data structures and encapsulation, inheritance, statements, procedure invocation, storage management, distributed processing, and network programming). Includes an advanced chapter on language semantics--program verification, denotational semantics, and the lambda calculus. For computer engineers and others interested in programming language designs.

    The rapid maturation of PHP has created a skeptical population of users from more traditional enterprise languages who question the readiness and ability of PHP to scale, as well as a large population of PHP developers without formal computer science backgrounds who have learned through the hands-on experimentation while developing small and midsize applications in PHP. While there are many books on learning PHP and developing small applications with it, there is a serious lack of information on scaling PHP for large-scale, business-critical systems. Schlossnagle's Advanced PHP Programming fills that void, demonstrating that PHP is ready for enterprise Web applications by showing the reader how to develop PHP-based applications for maximum performance, stability, and extensibility.