Data Processing category: 1302 books

Cover of Learning Jupyter
by Dan Toomey
Language: English
Release Date: November 30, 2016

Learn how to write code, mathematics, graphics, and output, all in a single document, as well as in a web browser using Project Jupyter About This Book Learn to write, execute, and comment your live code and formulae all under one roof using this unique guide This one-stop solution on Project...
Cover of Machine Learning for the Web
by Andrea Isoni
Language: English
Release Date: July 29, 2016

Explore the web and make smarter predictions using Python About This Book Targets two big and prominent markets where sophisticated web apps are of need and importance. Practical examples of building machine learning web application, which are easy to follow and replicate. A comprehensive tutorial...
Cover of Getting Started with SQL

Getting Started with SQL

A Hands-On Approach for Beginners

by Thomas Nield
Language: English
Release Date: February 11, 2016

Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of...
Cover of Getting Started with GEO, CouchDB, and Node.js

Getting Started with GEO, CouchDB, and Node.js

New Open Source Tools for Location Data

by Mick Thompson
Language: English
Release Date: July 22, 2011

Today's mobile devices have GPS and standard APIs to give you access to coordinates—but what can you do with that data? With this concise book, application developers learn how to work with location data quickly and easily, using Node.js, CouchDB, and other open source tools and libraries. Node.js...
Cover of Data Mining

Data Mining

Concepts, Methodologies, Tools, and Applications

by
Language: English
Release Date: November 30, 2012

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of...
Cover of Essential Excel 2016

Essential Excel 2016

A Step-by-Step Guide

by David Slager
Language: English
Release Date: November 25, 2016

This book shows you how easy it is to create, edit, sort, analyze, summarize and format data as well as graph it. Loaded with screen shots, step-by-step instructions, and reader exercises, Essential Excel 2016 makes it easy for you to get to grips with this powerful software and what it can do. What...
Cover of Hadoop Security

Hadoop Security

Protecting Your Big Data Platform

by Ben Spivey, Joey Echeverria
Language: English
Release Date: June 29, 2015

As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also...
Cover of Variational Regularization of 3D Data

Variational Regularization of 3D Data

Experiments with MATLAB®

by Hebert Montegranario, Jairo Espinosa
Language: English
Release Date: March 14, 2014

Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an inverse problem that can be solved by Tikhonov regularization. The proposed solutions are generalizations...
Cover of Feature Engineering Made Easy

Feature Engineering Made Easy

Identify unique features from your dataset in order to build powerful machine learning systems

by Divya Susarla, Sinan Ozdemir
Language: English
Release Date: January 22, 2018

A perfect guide to speed up the predicting power of machine learning algorithms Key Features Design, discover, and create dynamic, efficient features for your machine learning application Understand your data in-depth and derive astonishing data insights with the help of this Guide Grasp powerful...
Cover of Elasticsearch: A Complete Guide
by Bharvi Dixit, Rafal Kuc, Marek Rogozinski
Language: English
Release Date: January 31, 2017

End-to-end Search and Analytics About This Book Solve your data analytics problems with the Elastic Stack Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins Design your index, configure it, and distribute it — you'll also learn how it works Who...
Cover of Mastering .NET Machine Learning
by Jamie Dixon
Language: English
Release Date: March 29, 2016

Master the art of machine learning with .NET and gain insight into real-world applications About This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more...
Cover of Innovative Applications of Big Data in the Railway Industry
by
Language: English
Release Date: November 30, 2017

Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data in the Railway...
Cover of Python Data Analysis
by Ivan Idris
Language: English
Release Date: October 28, 2014

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Cover of Hands-On Automated Machine Learning

Hands-On Automated Machine Learning

A beginner's guide to building automated machine learning systems using AutoML and Python

by Sibanjan Das, Umit Mert Cakmak
Language: English
Release Date: April 26, 2018

Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine learning components Understand each component of a machine learning pipeline in depth Learn to use different open source AutoML and feature engineering platforms Book...
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