Big Data & Business Intelligence

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Learning SQL Server 2016 Reporting Services [Video]
$ 89.25
Your guide to creating intuitive, cross-platform reports with SQL Server 2016 Reporting Services
Introduction to QGIS Python Programming [Video]
$ 72.25
Learn how to analyze and display geospatial information using QGIS and Python
SQL Server 2016 Reporting Services Cookbook
$ 43.99
Create interactive cross-platform reports and dashboards using SQL Server 2016 Reporting Services
Bayesian Analysis with Python
$ 20.00
Unleash the power and flexibility of the Bayesian framework
Python Data Visualization Solutions [Video]
$ 80.75
Create attractive visualizations using Python’s most popular libraries
R: Recipes for Analysis, Visualization and Machine Learning
$ 69.99
Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning
Building Machine Learning Projects with TensorFlow
$ 22.00
Engaging projects that will teach you how complex data can be exploited to gain the most insight
Natural Language Processing: Python and NLTK
$ 35.00
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries
Mastering R Programming [Video]
$ 93.50
Build R packages, gain in-depth knowledge of machine learning, and master advanced programming techniques in R
Python: Real World Machine Learning
$ 35.00
Learn to solve challenging data science problems by building powerful machine learning models using Python
R for Data Science Solutions [Video]
$ 85.00
Over 100 hands-on tasks to help you effectively solve real-world data problems using the most popular R packages and techniques
Data Science with Spark [Video]
$ 110.50
Get started with Spark for data science using this unique video tutorial
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Latest from the Blog

Keep ahead of the curve with the latest expert insight, detailed technical analysis, and original research.

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The R Statistical Package Interfacing with Python

In this post, we talk about the package rpy2, which is used to call R inside of python

Vector Representation of Words

There are various ways to express a textual document as a vector depending on the problem and the assumptions of the model. In traditional Vector Space Models (VSMs), a word is represented as a vector of dimension equal to the size of vocuabulary with each word in the vocabulary corresponds to an entry in the vector.