Book picks similar to
Data Analysis, Regression and Forecasting by Arthur Schleifer
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data-analysis
Speccy Nation
Dan Whitehead - 2012
The British games industry would go on to create such hits as Tomb Raider and Grand Theft Auto, our innovation and imagination the envy of the world, our programmers the most sought after talent in the fastest growing entertainment medium in history.And it all started here.Welcome to the Speccy Nation.Join veteran games journalist and author Dan Whitehead on a journey through fifty games that helped to define the golden age of British gaming. From the timeless classics to unlikely cult favourites, and even the games so eccentric they could only have come from Britain in the 1980s.Part nostalgic look at the past, and part critical eye on the present and future, Speccy Nation is essential reading for all retro gaming enthusiasts.Includes a foreword by Your Sinclair's Phil "Snouty" South.
VMware vSphere 5 Clustering Technical Deepdive
Frank Denneman - 2011
It covers the basic steps needed to create a vSphere HA and vSphere DRS cluster and to implement vSphere Storage DRS. Even more important, it explains the concepts and mechanisms behind HA, DRS and Storage DRS which will enable you to make well educated decisions. This book will take you in to the trenches of HA, DRS and Storage DRS and will give you the tools to understand and implement e.g. HA admission control policies, DRS resource pools, Datastore Clusters and resource allocation settings. On top of that each section contains basic design principles that can be used for designing, implementing or improving VMware infrastructures and fundamental supporting features like (Storage) vMotion, Storage I/O Control and much more are described in detail for the very first time. This book is also the ultimate guide to be prepared for any HA, DRS or Storage DRS related question or case study that might be presented during VMware VCDX, VCP and or VCAP exams.Coverage includes: HA node types HA isolation detection and response HA admission control VM Monitoring HA and DRS integration DRS imbalance algorithm Resource Pools Impact of reservations and limits CPU Resource Scheduling Memory Scheduler DPM Datastore Clusters Storage DRS algorithm Influencing SDRS recommendationsBe prepared to dive deep!
Invent It, Sell It, Bank It!: Make Your Million-Dollar Idea Into a Reality
Lori Greiner - 2014
Become your own boss. Make your first million. Achieve financial freedom. Lori Greiner shows you how.Invent It, Sell It, Bank It! is a hands-on, nuts-and-bolts guide to getting a new product or company off the ground and making it profitable. Sharing her own secret formula and personal stories along the way, Lori provides vital information and advice on topics that can often intimidate, frustrate, and stump aspiring entrepreneurs.Offering behind-the-scenes insights into her experiences on ABC's Shark Tank and QVC-TV's Clever & Unique Creations by Lori Greiner, as well as valuable lessons learned from the mistakes and triumphs of her early career, Lori proves that, with hard work and the right idea, anyone can turn themselves into the next overnight success.Lori covers such topic as . . . - Market research: Is your idea a hero or a zero? Don't be so fixated on the end result that you forget to make something that people actually want to buy. - Product design: I have an idea, now what's next? From concept to prototype to final product: How do I make it and where do I start? - Funding: Although loans, investments, and crowd-sourcing are great ways to access cash, first tap into your own resources as wisely as possible. - Manufacturing: Seeing your final product roll off the assembly line is a magical moment, but there are things to watch out for so you get there in a cost-effective way. - Protecting your idea: To patent or not to patent, and other things you can do to safeguard your idea. - The secrets to selling successfully: You got the product made, now learn how to get people to buy it!
Guerrilla Home Recording: How to Get Great Sound from Any Studio {No Matter How Weird or Cheap Your Gear Is}
Karl Coryat - 2004
The revised edition is updated with a greater focus on digital recording techniques, the most powerful tools available to the home recordist. There are chapters devoted to instrument recording, humanizing drum patterns, mixing with plug-ins and virtual consoles, and a new section on using digital audio skills. And since, many true "Guerrillas" still record to analog tape, we have retained the best of that world. This edition features many more graphics than in the original edition, further enforcing Guerrilla Home Recording's reputation as the most readable, user-frienly recording title on the market.
Python for Informatics: Exploring Information: Exploring Information
Charles Severance - 2002
You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses. This book is designed to teach people to program even if they have no prior experience.
What Is Data Science?
Mike Loukides - 2011
Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.
Instruments of Darkness: The History of Electronic Warfare, 1939–1945
Alfred Price - 1977
The result was a continual series of thrusts, parries, and counter-thrusts, as first one side then the other sought to wrest the initiative in the struggle to control the ether. This was a battle fought with strange-sounding weapons---Freya, - -Mandrel, - -Boozer, - and -Window---and characterized by the bravery, self-sacrifice, and skill of those who took part in it. During the war, however, and for many years after, electronic-warfare systems and their employment during the conflict remained closely guarded military secrets. When that veil of secrecy was finally lifted, the technicalities of the subject helped ensure that it remained beyond the reach of many lay researchers and readers.Long regarded as a standard reference work, Instruments of Darkness has been expanded and completely revised.
The Elements of Data Analytic Style
Jeffrey Leek - 2015
This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.
Comptia A+ 220-801 and 220-802 Exam Cram
David L. Prowse - 2012
Limited Time Offer: Buy CompTIA(R) A+ 220-801 and 220-802 Exam Cram and receive a 10% off discount code for the CompTIA A+ 220-801 and 220-802 exams. To receive your 10% off discount code:Register your product at pearsonITcertification.com/registerFollow the instructionsGo to your Account page and click on "Access Bonus Content" CompTIA(R) A+ 220-801 and 220-802 Exam Cram, Sixth Edition is the perfect study guide to help you pass CompTIA's A+ 220-801 and 220-802 exams. It provides coverage and practice questions for every exam topic, including substantial new coverage of Windows 7, new PC hardware, tablets, smartphones, and professional-level networking and security. The book presents you with an organized test preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Exam Alerts, Sidebars, and Notes interspersed throughout the text keep you focused on what you need to know. Cram Quizzes help you assess your knowledge, and the Cram Sheet tear card is the perfect last minute review. Covers the critical information you'll need to know to score higher on your CompTIA A+ 220-801 and 220-802 exams!Deploy and administer desktops and notebooks running Windows 7, Vista, or XPUnderstand, install, and troubleshoot motherboards, processors, and memoryTest and troubleshoot power-related problemsUse all forms of storage, including new Blu-ray and Solid State (SSD) devicesWork effectively with mobile devices, including tablets and smartphonesInstall, configure, and troubleshoot both visible and internal laptop componentsConfigure Windows components and applications, use Windows administrative tools, and optimize Windows systemsRepair damaged Windows environments and boot errorsWork with audio and video subsystems, I/O devices, and the newest peripheralsInstall and manage both local and network printersConfigure IPv4 and understand TCP/IP protocols and IPv6 changesInstall and configure SOHO wired/wireless networks and troubleshoot connectivityImplement secure authentication, prevent malware attacks, and protect data Companion CDThe companion CD contains a digital edition of the Cram Sheet and the powerful Pearson IT Certification Practice Test engine, complete with hundreds of exam-realistic questions and two complete practice exams. The assessment engine offers you a wealth of customization options and reporting features, laying out a complete assessment of your knowledge to help you focus your study where it is needed most. Pearson IT Certifcation Practice Test Minimum System RequirementsWindows XP (SP3), WIndows Vista (SP2), or Windows 7Microsoft .NET Framework 4.0 ClientPentium-class 1 GHz processor (or equivalent)512 MB RAM650 MB disk space plus 50 MB for each downloaded practice exam David L. Prowse is an author, computer network specialist, and technical trainer. Over the past several years he has authored several titles for Pearson Education, including the well-received CompTIA A+ Exam Cram and CompTIA Security+ Cert Guide. As a consultant, he installs and secures the latest in computer and networking technology. He runs the website www.davidlprowse.com, where he gladly answers questions from students and readers.
Mastering VMware vSphere 4
Scott Lowe - 2009
Coverage Includes: Shows administrators how to use VMware to realize significant savings in hardware costs while still providing adequate "servers" for their users Demonstrates how to partition a physical server into several virtual machines, reducing the overall server footprint within the operations center Explains how VMware subsumes a network to centralize and simplify its management, thus alleviating the effects of "virtual server sprawl" Now that virtualization is a key cost-saving strategy, Mastering VMware vSphere 4 is the strategic guide you need to maximize the opportunities.
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Eric Siegel - 2013
Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.
Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else
Steve Lohr - 2015
Today, Data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge.Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights. It shows that, if exploited, this new revolution will change the way decisions are made—relying more on data and analysis, and less on intuition and experience—and transform the nature of leadership and management.Lohr explains how individuals and institutions will need to exploit, protect, and manage their data to stay competitive in the coming years. Filled with rich examples and anecdotes of the various ways in which the rise of Big Data is affecting everyday life it raises provocative questions about policy and practice that have wide implications for all of our lives.
One Simple Idea: Turn Your Dreams Into a Licensing Goldmine While Letting Others Do the Work
Stephen Key - 2011
You've longed to see your product idea come to fruition so you never have to work for anyone else again.Stephen Key has been living this dream for 30 years. The developer of such lucrative products as Michael Jordan s WallBall(r), the Spinformation(r) rotating label, and HotPicks(r) guitar picks, he knows better than anyone how to make a great living as an entrepreneur. Key develops ideas for new products, licenses them out, collects royalty checks, and doesn't look back. You can do it, too. All you need is "One Simple Idea."In this book, Key reveals the secrets that helped him and thousands of his students including bestselling author Tim Ferriss turn their creativity into a passive income generator by renting an idea to a company, which takes care of R&D, production, marketing, sales, accounting, distribution, and everything else you don t want to do.You ll be amazed at how simple the process of licensing an idea for profit actually is. Key explains how to: Keep your ideas safe without spending time and money on a patent Be your own boss without formally opening a business See your product go to market without footing a dime in expenses Make potentially big money without quitting your day jobThe age-old business assumption that ideas must come from within organizations has been shattered. From global corporations to small businesses, companies have become so confident in outside entrepreneurs that licensing is now a $500 billion industry. Businesses need freelancers like Key and you to provide creative, marketable ideas for new offerings.With "One Simple Idea," there s no prototyping, no patents, and, best of all, no risk. You can make the system work for you rather than the other way around."
Data Driven
D.J. Patil - 2015
It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt.
You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century.
You’ll explore:
Data scientist skills—and why every company needs a Spock
How the benefits of giving company-wide access to data outweigh the costs
Why data-driven organizations use the scientific method to explore and solve data problems
Key questions to help you develop a research-specific process for tackling important issues
What to consider when assembling your data team
Developing processes to keep your data team (and company) engaged
Choosing technologies that are powerful, support teamwork, and easy to use and learn