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Data Smart: Using Data Science to Transform Information Into Insight
by Foreman, John W. | PB | Good
US $5.31
Approximately£4.00
Condition:
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ”... Read moreAbout condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections.
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eBay item number:194410170263
Item specifics
- Condition
- Good
- Seller notes
- Binding
- Paperback
- Weight
- 0 lbs
- Product Group
- Book
- IsTextBook
- No
- ISBN
- 111866146X
- Subject Area
- Computers
- Publication Name
- Data Smart : Using Data Science to Transform Information Into Insight
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.6 in
- Subject
- Networking / General, Data Visualization, Data Processing, Databases / Data Mining
- Publication Year
- 2013
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.8 in
- Item Weight
- 25.6 Oz
- Item Width
- 7.3 in
- Number of Pages
- 432 Pages
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
111866146X
ISBN-13
9781118661468
eBay Product ID (ePID)
2309738819
Product Key Features
Number of Pages
432 Pages
Language
English
Publication Name
Data Smart : Using Data Science to Transform Information Into Insight
Subject
Networking / General, Data Visualization, Data Processing, Databases / Data Mining
Publication Year
2013
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.8 in
Item Weight
25.6 Oz
Item Length
9.6 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2013-946768
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.31
Synopsis
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions., Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart , author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know., "Data Smart makes modern statistic methods and algorithms understandable and easy to implement. Slogging through textbooks and academic papers is no longer required!" Patrick Crosby , Founder of StatHat && first CTO at OkCupid "When Mr. Foreman interviewed for a job at my company, he arrived dressed in a 'Kentucky Colonel' kind of suit and spoke about nonsensical things like barbecue, lasers, and orange juice pulp. Then, he explained how to demystify and solve just about any complex 'big data' problem in our company with simple spreadsheets. No server clusters, mainframes, or Hadoopamajigs. Just Excel. I hired him on the spot. After reading this book, you too will learn how to use math and basic spreadsheet formulas to improve your business or, at the very least, how to trick senior executives into hiring you as their data scientist." Ben Chestnut , Founder && CEO of MailChimp "You need a John Foreman on your analytics team. But if you can't have John, then reading this book is the next best thing." Patrick Lennon , Director of Analytics, The CocaCola Company Most people are approaching data science all wrong. Here's how to do it right. Not to disillusion you, but data scientists are not mystical practitioners of magical arts. Data science is something you can do. Really. This book shows you the significant data science techniques, how they work, how to use them, and how they benefit your business, large or small. It's not about coding or database technologies. It's about turning raw data into insight you can act upon, and doing it as quickly and painlessly as possible. Roll up your sleeves and let's get going. Relax it's just a spreadsheet Visit the companion website at www.wiley.com/go/datasmart to download spreadsheets for each chapter, and follow them as you learn about: Artificial intelligence using the general linear model, ensemble methods, and naive Bayes Clustering via kmeans, spherical kmeans, and graph modularity Mathematical optimization, including nonlinear programming and genetic algorithms Working with time series data and forecasting with exponential smoothing Using Monte Carlo simulation to quantify and address risk Detecting outliers in single or multiple dimensions Exploring the datasciencefocused R language, Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart , author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.
LC Classification Number
QA76.9.D343
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