Bad Data Handbook PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Bad Data Handbook PDF full book. Access full book title Bad Data Handbook by Q. Ethan McCallum. Download full books in PDF and EPUB format.
Author: Q. Ethan McCallum
Publisher: "O'Reilly Media, Inc."
ISBN: 1449324975
Category : Computers
Languages : en
Pages : 265
Get Book Here
Book Description
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis
Author: Q. Ethan McCallum
Publisher: "O'Reilly Media, Inc."
ISBN: 1449324975
Category : Computers
Languages : en
Pages : 265
Get Book Here
Book Description
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis
Author: Mark Nelson
Publisher:
ISBN: 9788170297291
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Described by Jeff Prosise of PC Magazine as one of my favorite books on applied computer technology, this updated second edition brings you fully up-to-date on the latest developments in the data compression field. It thoroughly covers the various data compression techniques including compression of binary programs, data, sound, and graphics. Each technique is illustrated with a completely functional C program that demonstrates how data compression works and how it can be readily incorporated into your own compression programs. The accompanying disk contains the code files that demonstrate the various techniques of data compression found in the book.
Author: Wally Wang
Publisher:
ISBN: 9781593270001
Category : Computers
Languages : en
Pages : 388
Get Book Here
Book Description
Describes how computer viruses are created and spred, and discusses computer harassment, online con artists, protection data with encryption, and general computer security issues.
Author: Stanley Shell
Publisher: Conran Octopus
ISBN:
Category : Computers
Languages : en
Pages : 382
Get Book Here
Book Description
Author: Brand Fortner
Publisher: Springer
ISBN: 9781461225393
Category : Computers
Languages : en
Pages : 350
Get Book Here
Book Description
"What our teachers don't tell us in school is that we will spend most of our scientific or engineering career in front of computers, trying to beat them into submission." This extract from the Preface sets the style for this highly readable book. It is packed with information covering data representations, the pitfalls of computer arithmetic, and a variety of widely-used representations and standards. Each chapter begins with a detailed contents list and finishes with a brief summary of the topics presented and the whole is rounded off with a glossary and index. Novices will enjoy an occasionally lighthearted read from start to finish, while even the most experienced computer users who use the book as a reference will discover useful nuggets of information. A structured array of data sets are available online via the TELOS Web site, www.telospub.com, which will provide users with direct digital access to information they might need in working through the book.
Author: Brand Fortner
Publisher: Springer Science & Business Media
ISBN:
Category : Computers
Languages : en
Pages : 394
Get Book Here
Book Description
A straightforward and accessible guide for anyone who needs to learn how to manipulate data, the material is offered in bite-sized pieces so not to confuse the reader. Data files are available on the Internet through TELOS' Web site which provide users with direct digital access to information they need in working through the book.
Author: Carl Shan
Publisher:
ISBN: 9780692434871
Category :
Languages : en
Pages :
Get Book Here
Book Description
The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the co-creator of the term 'data scientist' thinks about career and personal success. You'll hear from a young woman who created her own data scientist curriculum, subsequently landing her a role in the field. Readers of this book will be left with war stories, wisdom and
Author: Borko Furht
Publisher: Springer Science & Business Media
ISBN: 1461414156
Category : Computers
Languages : en
Pages : 795
Get Book Here
Book Description
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
Author: Lamont Wood
Publisher: Hugo House Publishers, Ltd.
ISBN: 1936449366
Category : Computers
Languages : en
Pages : 356
Get Book Here
Book Description
Forget Apple and IBM. For that matter forget Silicon Valley. The first personal computer, a self-contained unit with its own programmable processor, display, keyboard, internal memory, telephone interface, and mass storage of data was born in San Antonio TX. US Patent number 224,415 was filed November 27, 1970 for a machine that is the direct lineal ancestor to the PC as we know it today. The story begins in 1968, when two Texans, Phil Ray and Gus Roche, founded a firm called Computer Terminal Corporation. As the name implies their first product was a Datapoint 3300 computer terminal replacement for a mechanical Teletype. However, they knew all the while that the 3300 was only a way to get started, and it was cover for what their real intentions were - to create a programmable mass-produced desktop computer. They brought in Jack Frassanito, Vic Poor, Jonathan Schmidt, Harry Pyle and a team of designers, engineers and programmers to create the Datapoint 2200. In an attempt to reduce the size and power requirement of the computer it became apparent that the 2200 processor could be printed on a silicon chip. Datapoint approached Intel who rejected the concept as a "dumb idea" but were willing to try for a development contract. Intel belatedly came back with their chip but by then the Datapoint 2200 was already in production. Intel added the chip to its catalog designating it the 8008. A later upgrade, the 8080 formed the heart of the Altair and IMSI in the mid-seventies. With further development it was used in the first IBM PC-the PC revolution's chip dynasty. If you're using a PC, you're using a modernized Datapoint 2000.
Author: Chase Roberts
Publisher:
ISBN: 9781735208701
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.
