Найти книгу: "'n Dorp soos Silwer Streams"

’n Man struikel-stap deur ’n dorp se vervalle strate. Hy moet by die polisiekantoor uitkom. Hy het ’n paar ou tekkies aan, en hy het sy selfoon by hom. Hy is die dorp se predikant. Hy het op ’n lyk afgekom. Silwer Streams is ’n dorp soos enige ander op die Suid-Afrikaanse platteland. Daar is ’n kerk en ’n kafee, ’n rolbalklub en twee townships, ’n polisieman en ’n koerantman, ’n oudonderwyser, ’n dowe sekretaresse en ’n gay kafee-assistent. En nou ook ’n lyk. Ja, natuurlik het die dorp ’n dominee ook, dis juis hy wat op die lyk afgekom het. Net langs die laagwaterbrug buite die dorp het hy die bleek gelaat onder die watervlak sien roer. Was dit moord? Die dorp is in rep en roer. Hulle se die lyk was die van ’n onwettige immigrant. Die polisieman doen ondersoek; iemand bel die storie deur na die Sondagkoerant, almal se tonge klap. Almal behalwe die dominee s’n. Hy word nog stiller, nog meer teruggetrokke. Hy trek hom terug in sy binnekamer vir sy voortdurende sielestryd – sy stryd teen karakters wat nou al so lank sy kop bevolk. Hy sal tot skryf moet kom, weet hy nou. Nou is daar nie meer verskonings nie. Nou is daar ’n lyk.

You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior…. As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes…. As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company’s web site…. Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game. It is just what is needed to get past some spots you’ve been struggling with…. Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can’t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion. What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you’ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time. Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about. Taming the Big Data Tidal Wave isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!

In Multiple Streams of Income, bestselling author Robert Allen presents ten revolutionary new methods for generating over $100,000 a year—on a part-time basis, working from your home, using little or none of your own money. For this book, Allen researched hundreds of income-producing opportunities and narrowed them down to ten surefire moneymakers anyone can profit from. This revised edition includes a new chapter on a cutting-edge investing technique.

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.