Small Data


Small Data
Author: David J. Hand
Publisher: CRC Press
ISBN: 9780412399206
Size: 13.83 MB
Format: PDF
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A Handbook Of Small Data Sets

Small Data by David J. Hand, A Handbook Of Small Data Sets Books available in PDF, EPUB, Mobi Format. Download A Handbook Of Small Data Sets books, This book should be of interest to statistics lecturers who want ready-made data sets complete with notes for teaching.


A Handbook of Small Data Sets
Language: en
Pages: 474
Authors: David J. Hand, Fergus Daly, K. McConway, D. Lunn, E. Ostrowski
Categories: Mathematics
Type: BOOK - Published: 1993-11-01 - Publisher: CRC Press
This book should be of interest to statistics lecturers who want ready-made data sets complete with notes for teaching.
Small Data
Language: de
Pages: 304
Authors: Martin Lindstrom
Categories: Business & Economics
Type: BOOK - Published: 2016-03-16 - Publisher: Plassen Verlag
Das "Next Big Thing" ist die "Small Data Revolution" Die führenden Marken der Welt buchen ihn, um herauszufinden, wie ihre Kunden ticken. Martin Lindstrom verbringt 300 Tage im Jahr auf Reisen und beobachtet Menschen in ihrem Zuhause. Auf diese Weise erfährt er ihre geheimsten Bedürfnisse – und revolutioniert anschließend Produkte
Application of Lag Models to Small Data Time Series Forecasting in a Presence of Micro/Macro-Factors Structure
Language: en
Pages:
Authors: Martin Lindstrom
Categories: Business & Economics
Type: BOOK - Published: 2017 - Publisher:
Books about Application of Lag Models to Small Data Time Series Forecasting in a Presence of Micro/Macro-Factors Structure
Exam Prep for: Small Data The Tiny Clues That Uncover Huge ...
Language: en
Pages:
Authors: Martin Lindstrom
Categories: Business & Economics
Type: - Published: - Publisher:
Books about Exam Prep for: Small Data The Tiny Clues That Uncover Huge ...
Small Data, Big Disruptions
Language: en
Pages: 224
Authors: Martin Schwirn
Categories: Business & Economics
Type: BOOK - Published: 2021-04-15 - Publisher: Red Wheel/Weiser
A method to find and connect the small data clues that show what the future’s big picture will look like. “Strategy decisions are like playing high-stakes blackjack, and scanning is the technique for counting cards. Martin Schwirn isn’t a pro gambler, but an expert in scanning.” —Bill Ralston, cofounder of
Shock Formation in Small-Data Solutions to 3D Quasilinear Wave Equations
Language: en
Pages: 515
Authors: Jared Speck
Categories: Differential equations, Nonlinear
Type: BOOK - Published: 2016-12-07 - Publisher: American Mathematical Soc.
In 1848 James Challis showed that smooth solutions to the compressible Euler equations can become multivalued, thus signifying the onset of a shock singularity. Today it is known that, for many hyperbolic systems, such singularities often develop. However, most shock-formation results have been proved only in one spatial dimension. Serge
Transparent Data Mining for Big and Small Data
Language: en
Pages: 215
Authors: Tania Cerquitelli, Daniele Quercia, Frank Pasquale
Categories: Computers
Type: BOOK - Published: 2017-05-09 - Publisher: Springer
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental
Exam Prep for: Shock Formation in Small-data Solutions to ...
Language: en
Pages:
Authors: Tania Cerquitelli, Daniele Quercia, Frank Pasquale
Categories: Computers
Type: - Published: - Publisher:
Books about Exam Prep for: Shock Formation in Small-data Solutions to ...
Small data
Language: it
Pages:
Authors: Martin Lindstrom
Categories: Business & Economics
Type: BOOK - Published: 2016 - Publisher:
Books about Small data
Data Analytics
Language: en
Pages: 276
Authors: Shuai Huang, Houtao Deng
Categories: Mathematics
Type: BOOK - Published: 2021 - Publisher: CRC Press
"Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models. It has many small datasets to guide students to work out pencil solutions of the models and then compare with results obtained from established R packages. Also,