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Learning Apache Mahout Classification

Learning Apache Mahout Classification

by Ashish Gupta
130 Pages · 2015 · 2.43 MB · 1,802 Downloads · New!
" Happiness doesn't result from what we get, but from what we give. ” ― Ben Carson
Microsoft Business Intelligence For Dummies
by Ken Withee
432 Pages · 2010 · 9.03 MB · 1,066 Downloads · New!
Learn to create an effective business strategy using Microsoft’s BI stack Microsoft Business Intelligence tools are among the most widely used applications for gathering, providing access to, and analyzing data to enable the enterprise to make sound business decisions. The tools include SharePoint Server, the Office Suite, PerformancePoint Server, and SQL Server, among others.
Data Science in the Cloud with Microsoft Azure Machine Learning and R
by Stephen Elston
65 Pages · 2015 · 1.87 MB · 1,106 Downloads · New!
Azure ML, Microsoft’s Azure Machine Learning cloud platform, provides an easy-to-use and powerful set of cloud-based data transformation and machine-learning tools. With this O’Reilly report, you’ll learn the basics of manipulating data and constructing and evaluating models in Azure ML, illustrated by a complete data science example.
FileMaker Pro 14: The Missing Manual
by Stuart Gripman
972 Pages · 2015 · 36.23 MB · 3,887 Downloads · New!
You don’t need a technical background to build powerful databases with FileMaker Pro 14. This crystal-clear, objective guide shows you how to create a database that lets you do almost anything with your data so you can quickly achieve your goals. Whether you’re creating catalogs, managing inventory and billing, or planning a wedding, you’ll learn how to customize your database to run on a PC, Mac, web browser, or iOS device.
Teach Yourself VISUALLY Access 2013
by Paul McFedries
339 Pages · 2013 · 33.83 MB · 1,805 Downloads · New!
The easy, visual way to learn this popular database program
Access 2013 All-in-One For Dummies
by Alison Barrows
792 Pages · 2013 · 26,89 MB · 1,136 Downloads · New!
Get started with the new Access 2013 with this impressive all-in-one reference!
Data Mining: Theories, Algorithms, and Examples
by Nong Ye
349 Pages · 2013 · 6.55 MB · 4,457 Downloads · New!
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.

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