This book describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Within this book, you will learn: ✲ Agile dimensional modeling using Business Event Analysis & Modeling (BEAM✲) ✲ Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun! ✲ Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how) ✲ Modeling by example not abstraction; using data story themes, not crow's feet, to describe detail ✲ Storyboarding the data warehouse to discover conformed dimensions and plan iterative development ✲ Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply ✲ Agile design documentation: enhancing star schemas with BEAM✲ dimensional shorthand notation ✲ Solving difficult DW/BI performance and usability problems with proven dimensional design patterns Lawrence Corr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visual data modeling techniques. He regularly teaches agile dimensional modeling courses worldwide and has taught dimensional DW/BI skills to thousands of students. Jim Stagnitto is a data warehouse and master data management architect specializing in the healthcare, financial services, and information service industries. He is the founder of the data warehousing and data mining consulting firm Llumino.

    Written by Chris Sims, a top scrum trainer and pioneer of experiential learning, and Hillary Louise Johnson, a novelist and business journalist, it demonstrates the principles, practices and pitfalls of the scrum framework through lively storytelling and vividly told example.The Elements of Scrum opens with a blow-by-blow description of a week in the life of a scrum team, then briefly details the history and origins of scrum, comparing it to traditional methodologies and providing context for how scrum applies to the cultural history of the software industry. Next, the principles and practices set forth in the Agile Manifesto are broken down and illustrated with real-world examples, putting the reader inside the heads of the founders of scrum and agile for a thorough grounding in theory.The meat of the book explains every aspect of the scrum process, including team composition, scheduling and work flow management, in crisp, clear, example-laden prose designed to provide insight to novices and experienced practitioners alike.The book concludes with a section on supporting technical practices like Test Driven Development and Pair Programming, to help the reader apply scrum at the practical level.The Elements of Scrum is taught at colleges and universities across the country, including UCLA, George Mason University, Arizona State, SUNY Potsdam, Wofford College, and Becker College. It has been translated into Mandarin, and is soon to appear in other international editions.

    AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

    Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific strategies you can use in your day-to-day applications. You'll learn techniques for building web services, using Go in the cloud, testing and debugging, routing, network applications, and much more.

    It’s an exploration of making, but it’s also a permission slip of sorts from me to you. Permission to grab hold of the things you’re interested in, that fascinate you, and to dive deeper into them to see where they lead you. Through stories from forty-plus years of making and molding, building and break­ing, along with the lessons I learned along the way, this book is meant to be a toolbox of problem solving, complete with a shop’s worth of notes on the tools, techniques, and materials that I use most often. Things like: In Every Tool There Is a Hammer—don’t wait until everything is perfect to begin a project, and if you don’t have the exact right tool for a task, just use whatever’s handy; Increase Your Loose Tolerance—making is messy and filled with screwups, but that’s okay, as creativity is a path with twists and turns and not a straight line to be found; Use More Cooling Fluid—it prolongs the life of blades and bits, and it prevents tool failure, but beyond that it’s a reminder to slow down and reduce the fric­tion in your work and relationships; Screw Before You Glue—mechanical fasteners allow you to change and modify a project while glue is forever but sometimes you just need the right glue, so I dig into which ones will do the job with the least harm and best effects. This toolbox also includes lessons from many other incredible makers and creators, including: Jamie Hyneman, Nick Offerman, Pixar director Andrew Stanton, Oscar-winner Guillermo del Toro, artist Tom Sachs, and chef Traci Des Jardins. And if everything goes well, we will hopefully save you a few mistakes (and maybe fingers) as well as help you turn your curiosities into creations. I hope this book serves as “creative rocket fuel” (Ed Helms) to build, make, invent, explore, and—most of all—enjoy the thrills of being a creator.

    From the seed first planted by slave dances held in Congo Square and nurtured by early ensembles led by Buddy Belden and Joe King Oliver, jazz began its long winding odyssey across America and around the world, giving flower to a thousand different forms--swing, bebop, cool jazz, jazz-rock fusion--and a thousand great musicians. Now, in The History of Jazz, Ted Gioia tells the story of this music as it has never been told before, in a book that brilliantly portrays the legendary jazz players, the breakthrough styles, and the world in which it evolved. Here are the giants of jazz and the great moments of jazz history--Jelly Roll Morton (the world's greatest hot tune writer), Louis Armstrong (whose O-keh recordings of the mid-1920s still stand as the most significant body of work that jazz has produced), Duke Ellington at the Cotton Club, cool jazz greats such as Gerry Mulligan, Stan Getz, and Lester Young, Charlie Parker's surgical precision of attack, Miles Davis's 1955 performance at the Newport Jazz Festival, Ornette Coleman's experiments with atonality, Pat Metheny's visionary extension of jazz-rock fusion, the contemporary sounds of Wynton Marsalis, and the post-modernists of the Knitting Factory. Gioia provides the reader with lively portraits of these and many other great musicians, intertwined with vibrant commentary on the music they created. Gioia also evokes the many worlds of jazz, taking the reader to the swamp lands of the Mississippi Delta, the bawdy houses of New Orleans, the rent parties of Harlem, the speakeasies of Chicago during the Jazz Age, the after hours spots of corrupt Kansas city, the Cotton Club, the Savoy, and the other locales where the history of jazz was made. And as he traces the spread of this protean form, Gioia provides much insight into the social context in which the music was born. He shows for instance how the development of technology helped promote the growth of jazz--how ragtime blossomed hand-in-hand with the spread of parlor and player pianos, and how jazz rode the growing popularity of the record industry in the 1920s. We also discover how bebop grew out of the racial unrest of the 1940s and '50s, when black players, no longer content with being entertainers, wanted to be recognized as practitioners of a serious musical form. Jazz is a chameleon art, delighting us with the ease and rapidity with which it changes colors. Now, in Ted Gioia's The History of Jazz, we have at last a book that captures all these colors on one glorious palate. Knowledgeable, vibrant, and comprehensive, it is among the small group of books that can truly be called classics of jazz literature.

    THIS BOOK has been written to cover BOTH the current ("2nd generation") Kindle Fire HD, AND the earlier ("1st Generation") Kindle Fire HD.<br><br></h2><br><br><h2>"Fantastic..." "Great Help..." "Easy for a non-geek to understand." -Actual reviewer comments for Kindle Fire HD Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HD</h2><br><i><br>"Fantastic! I searched and searched for a source to help me better understand my new Kindle. I was about to give up and then I found this book. I have discovered so many tips and tricks! I am enjoying my Kindle so much more!"<br><br>"Easy for a non-geek to understand. Thanks for writing a book that I can understand. Very basic guide to the kindle fire that is easy to follow and makes it easy to implement any suggestions offered. The directions given matched what is actually on my kindle fire. I have read a couple of books that were supposedly updated for late 2012 or for January 2013 that gave instructions for actions on my kindle fire that didn't match what I see on my device bough in December 2012. This is hugely frustrating to a tech novice. This book told me exactly where to go and what to do."<br><br>"Great help. This was a big help with my first venture in tablet land. A lot of good ideas. A must read for any kindle user."<br></i><br><br>So, you've got a Kindle Fire as a gift, or perhaps you bit the purchase bullet on your own because you wanted this impressive tablet. Do you want to get the most out of your new Kindle Fire HD? If you are looking for a top-notch tutorial at a reasonable cost, you've come to the right place! Here is the book that will teach you 100% of what you need to know. <b>Kindle Fire HD Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HD</b> is your detailed guide to getting the maximum benefit from your Kindle Fire HD.<br>In this comprehensive guide, you'll learn tips (ways to effectively use your Kindle Fire), tricks (ways to improve the operation of your Kindle Fire), and traps (things to avoid to prevent problems while using your Kindle Fire). You will learn-<br><br>• How to get around within the user interface, the home screen, and the carousel more efficiently<br><br>• How to make your Kindle Fire your own, customizing its display and operation for fastest and easiest use<br><br>• How to find THOUSANDS of FREE books, as well as movies and songs, for your Kindle Fire<br><br>• How to setup the security options to protect your account information<br><br>• How you can move your iTunes or other music library to your Kindle Fire<br><br>• How you can download YouTube videos to your Kindle Fire<br><br>* How to use the built-in camera and the new camera app provided by Amazon in a late 2012 software update<br><br>• Suggested apps that no Kindle Fire owner should be without<br><br>You will learn all of the above and more, with Kindle Fire Tips, Tricks, and Traps: A How-To Tutorial for the Kindle Fire HD as a part of your library.

    The book assumes no prior knowledge of computer programming and progressively covers all the essential steps needed to become confident and proficient in using R within a day. Topics include how to input, manipulate, format, iterate (loop), query, perform basic statistics on, and plot data, via a step-by-step technique and demonstrations using in-built datasets which the reader is encouraged to replicate on their computer. Each chapter also includes exercises (with solutions) to practice key skills and empower the reader to build on the essentials gained during this introductory course.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    Its broad appeal lies in its interactive environment with hundreds of built-in functions for technical computation, graphics, and animation. In addition, it provides easy extensibility with its own high-level programming language. Enhanced by fun and appealing illustrations, Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    Offers user-friendly knowledge and stimulating exercises to help compose story, develop characters and create emotion through skillful creation of the sound track.