Data Processing category: 1302 books

Cover of SAP-BusinessObjects-Data-Services---Complete-Reference
by Sukant Pandey
Language: English
Release Date: July 17, 2015

This book details the Data Services Configuration and Process activities for the SAP tool ‘Data Services’. At a high level it will cover various administrative and user-focused activities around the SQL Server 2008 Database, SAP Data Services, and SAP Information Platform Services. This...
Cover of Learning Probabilistic Graphical Models in R
by David Bellot
Language: English
Release Date: April 29, 2016

Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R About This Book Predict and use a probabilistic graphical models (PGM) as an expert system Comprehend how your computer can learn Bayesian modeling to solve real-world problems Know...
Cover of Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack

Expert techniques to integrate machine learning with distributed search and analytics

by Bahaaldine Azarmi, Rich Collier
Language: English
Release Date: January 31, 2019

Leverage Elastic Stack’s machine learning features to gain valuable insight from your data Key Features Combine machine learning with the analytic capabilities of Elastic Stack Analyze large volumes of search data and gain actionable insight from them Use external analytical tools with your...
Cover of MongoDB 4 Quick Start Guide

MongoDB 4 Quick Start Guide

Learn the skills you need to work with the world's most popular NoSQL database

by Doug Bierer
Language: English
Release Date: September 28, 2018

A fast paced guide that will help you to create, read, update and delete data using MongoDB Key Features Create secure databases with MongoDB Manipulate and maintain your database Model and use data in a No SQL environment with MongoDB Book Description MongoDB has grown to become the de facto...
Cover of Mastering Machine Learning with R - Second Edition
by Cory Lesmeister
Language: English
Release Date: April 25, 2017

Master machine learning techniques with R to deliver insights in complex projects About This Book Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class...
Cover of Applied Supervised Learning with R

Applied Supervised Learning with R

Use machine learning libraries of R to build models that solve business problems and predict future trends

by Jojo Moolayil, Karthik Ramasubramanian
Language: English
Release Date: May 31, 2019

Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, and loan default prediction. Key Features Study supervised learning algorithms by using real-world datasets Fine tune...
Cover of Special Techniques in Excel
by David Fong
Language: English
Release Date: December 9, 2016

Excel can be used for only so muchor can it? This guide shows you how to do just about anything using the popular program. It presents ideas on query techniques to automate business tasks whether you are using Excel as a database, to compare related data, or to gain insights about data. By following...
Cover of Big Data, Cloud Computing, and Data Science Engineering
by
Language: English
Release Date: July 30, 2019

This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen...
Cover of Bayesian Analysis with Python

Bayesian Analysis with Python

Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition

by Osvaldo Martin
Language: English
Release Date: December 26, 2018

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ A modern, practical and computational approach to Bayesian statistical modeling A tutorial for Bayesian analysis and best...
Cover of Big Data, Fast Data
by Jochen Mader, Michael Lex, Dr. Daniel Pape
Language: German
Release Date: August 10, 2016

Die Big-Data-Welt verändert sich. Mit diesem shortcut erfahren Sie, was hinter den Begriffen Fast Data und SMACK steckt, wie Daten mittels Kafka und Akka ins System kommen und auf welche Art und Weise eine Datenanalyse mit Spark und Apache Zeppelin funktioniert. Im abschließenden Kapitel erläutern...
Cover of Microsoft Excel Spreadsheet Data Formulas
by Kenny L Keys
Language: English
Release Date: August 31, 2013

This book will allow users to quickly master Microsoft Excel data formulas: left, right, mid, trim, len, find, index, if, and, or, iserror, hlookup, vlookup, concatenate, offset, match, small, and large.  In order to create powerful mega-formulas, which are used to extract and manipulate data...
Cover of Practical Data Migration
by Johny Morris
Language: English
Release Date: September 15, 2012

Essential for all IT people tasked with migrating data Reflects the increasing sophistication of related software Updated new edition of bestselling text (previous ISBN 9781902505718) Helps the reader get the dirty old data out of legacy systems and transform it into clean new data. Includes Anecdotes, Hints, Golden Rules, Definitions
Cover of Field Guide to Hadoop

Field Guide to Hadoop

An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies

by Kevin Sitto, Marshall Presser
Language: English
Release Date: March 2, 2015

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into...
Cover of Mastering Machine Learning with scikit-learn - Second Edition
by Gavin Hackeling
Language: English
Release Date: September 11, 2017

Use scikit-learn to solve real-world problems with machine learningAbout This BookGet beyond the basics and design efficient machine learning systems using scikit-learnMaster the popular machine learning algorithms, including decision trees, logistic regression, and support vector machinesA practical,...
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