Data Modeling category: 403 books

Cover of Thinking with Data

Thinking with Data

How to Turn Information into Insights

by Max Shron
Language: English
Release Date: January 20, 2014

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked...
Cover of Understanding Compression

Understanding Compression

Data Compression for Modern Developers

by Colt McAnlis, Aleks Haecky
Language: English
Release Date: July 13, 2016

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand...
Cover of Mastering Julia 1.0

Mastering Julia 1.0

Solve complex data processing problems with Julia

by Malcolm Sherrington
Language: English
Release Date: December 10, 2019

Tackle the Contemporary Challenges of Programming and Data Science with Julia About This Book Build statistical models with linear regression and analysis of variance (ANOVA) Create your own modules and contribute to the Julia package system Complete an extensive data science project through...
Cover of Mastering MongoDB 3.x
by Alex Giamas
Language: English
Release Date: November 17, 2017

An expert's guide to build fault tolerant MongoDB application About This Book Master the advanced modeling, querying, and administration techniques in MongoDB and become a MongoDB expert Covers the latest updates and Big Data features frequently used by professional MongoDB developers and...
Cover of Python: Real World Machine Learning
by Prateek Joshi, John Hearty, Bastiaan Sjardin
Language: English
Release Date: November 14, 2016

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through...
Cover of MapReduce Design Patterns

MapReduce Design Patterns

Building Effective Algorithms and Analytics for Hadoop and Other Systems

by Donald Miner, Adam Shook
Language: English
Release Date: November 21, 2012

Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework...
Cover of Cassandra: The Definitive Guide

Cassandra: The Definitive Guide

Distributed Data at Web Scale

by Jeff Carpenter, Eben Hewitt
Language: English
Release Date: June 29, 2016

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra...
Cover of Building Machine Learning Systems with Python

Building Machine Learning Systems with Python

Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition

by Luis Pedro Coelho, Matthieu Brucher, Willi Richert
Language: English
Release Date: July 31, 2018

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries to implement in...
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 Information Modeling and Relational Databases
by Terry Halpin, Tony Morgan
Language: English
Release Date: July 27, 2010

Information Modeling and Relational Databases, Second Edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a...
Cover of Cassandra Data Modeling and Analysis
by C.Y. Kan
Language: English
Release Date: December 23, 2014

If you are interested in Cassandra and want to develop real-world analysis applications, then this book is perfect for you. It would be helpful to have prior knowledge of NoSQL database.
Cover of Developing Churn Models Using Data Mining Techniques and Social Network Analysis
by Goran Klepac, Robert Kopal, Leo Mršić
Language: English
Release Date: July 31, 2014

Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios. Developing Churn Models Using Data...
Cover of Contemporary Strategies and Approaches in 3-D Information Modeling
by
Language: English
Release Date: May 18, 2018

It is generally accepted that building information modeling (BIM) related technologies offer considerable advantages to many participants in the construction sector. Currently, there exists a whole range of commercially available BIM software platforms that are specialized to suit the functional needs...
Cover of Individual-based Modeling and Ecology
by Volker Grimm, Steven F. Railsback
Language: English
Release Date: November 28, 2013

Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first...
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