Data Modeling category: 403 books
by Anshul Joshi
Language: English
Release Date: September 30, 2016
Language: English
Release Date: September 30, 2016
Explore the world of data science from scratch with Julia by your side
About This Book
An in-depth exploration of Julia's growing ecosystem of packages
Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization
Learn about deep learning using Mocha.jl...
Data Science with SQL Server Quick Start Guide
Integrate SQL Server with data science
Language: English
Release Date: August 31, 2018
Get unique insights from your data by combining the power of SQL Server, R and Python
Key Features
Use the features of SQL Server 2017 to implement the data science project life cycle
Leverage the power of R and Python to design and develop efficient data models
find unique insights from your...
Graph Databases
New Opportunities for Connected Data
Language: English
Release Date: June 10, 2015
Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries...
by Chandraish Sinha
Language: English
Release Date: January 22, 2016
Language: English
Release Date: January 22, 2016
Want to solve your Business Intelligence headaches? Learn how QlikView can help, and discover a powerful yet accessible BI solution that lets you harness your data
About This Book
Design interactive dashboards using QlikView to share sharp BI insights
Discover how to create effective data models...
Hands-On Data Science with the Command Line
Automate everyday data science tasks using command-line tools
Language: English
Release Date: January 31, 2019
Big data processing and analytics at speed and scale using command line tools.
Key Features
Perform string processing, numerical computations, and more using CLI tools
Understand the essential components of data science development workflow
Automate data pipeline scripts and visualization with...
Regression Analysis with R
Design and develop statistical nodes to identify unique relationships within data at scale
Language: English
Release Date: January 31, 2018
Build effective regression models in R to extract valuable insights from real data
Key Features
Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values
From Simple Linear Regression to Logistic Regression...
by Christopher Ilacqua, Henric Cronstrom, James Richardson
Language: English
Release Date: September 2, 2016
Language: English
Release Date: September 2, 2016
Get the most out of your Qlik Sense investment with the latest insight and guidance direct from the Qlik Sense team
About This Book
Updated with new coverage on Qlik Cloud, Qlik Sense Modeling, and Extending the Qlik Analytic Platform.
Get insider insight on Qlik Sense and its new approach to...
Data Analytics with Hadoop
An Introduction for Data Scientists
Language: English
Release Date: June 1, 2016
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses...
by John Hearty
Language: English
Release Date: July 28, 2016
Language: English
Release Date: July 28, 2016
Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
About This Book
Resolve complex machine learning problems and explore deep learning
Learn to use Python code for implementing a range of machine learning algorithms and techniques
A practical...
by Dr. Hari M. Koduvely
Language: English
Release Date: October 28, 2015
Language: English
Release Date: October 28, 2015
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
About This Book
Understand the principles of Bayesian Inference with less mathematical equations
Learn state-of-the art Machine Learning methods
Familiarize yourself with the recent...
by Jerome Baton, Rik Van Bruggen
Language: English
Release Date: October 20, 2017
Language: English
Release Date: October 20, 2017
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database
About This Book
Get acquainted with graph database systems and apply them in real-world use cases
Use Cypher query language, APOC and other Neo4j extensions to derive meaningful analysis from complex...
Jupyter Cookbook
Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
Language: English
Release Date: April 30, 2018
Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle
Key Features
Create and share interactive documents with live code, text and visualizations
Integrate popular programming languages such as Python, R, Julia, Scala with Jupyter
Develop your...
by
Language: English
Release Date: June 15, 2018
Language: English
Release Date: June 15, 2018
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to...
by Salahaldin Juba, Andrey Volkov
Language: English
Release Date: December 1, 2017
Language: English
Release Date: December 1, 2017
Leverage the power of PostgreSQL 10 to build powerful database and data warehousing applications.
About This Book
Be introduced to the concept of relational databases and PostgreSQL, one of the fastest growing open source databases in the world
Learn client-side and server-side programming in...