The Challenges to Tackle Before You Start With AI
Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology�...
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Taming 1.5 Billion Rows of "Big Apple” Data
Diving into the many underlying trends throughout the entire 1.5 Billion rows of NYC Taxi data with Pivot Billion The age of data has arrived. With it, more and more data...
Cross-Validation: Concept and Example in R
This article was written by Sondos Atwi. What is Cross-Validation? In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testi...
Finding insights with graph analytics
Originally posted here. From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal...
One Shot Learning and Other Strategies for Reducing Training Data
Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications. Here are five st...
A Blast from Python Past
I had an interesting discussion with one of my son’s friends at a neighborhood gathering over the holidays. He’s just reached the halfway point of a Chicago-a...
Machine Learning for Transactional Analytics: Customer Life time Value v/s Acquisition Cost
Understanding customer transactional behaviour pays well for any business. With the tsunami of start ups in recent times and the immense money flow in businesses, custome...
Best dynamically-typed programming languages for data analysis
One can seriously argue about what programming language is the best for data analysis, but there is one universal metric that can define your choice: speed of calculation...
Data-driven Marketing Strategy: Spatial Analytics for Micro-marketing
Data-driven Marketing Strategy: Spatial Analytics for Micro-marketing Organizations, often in their me-too hurry to adopt a new technology, just pour their old-wine (data...
New Home Sales Projection: A Time Series Forecasting
1. Background New home construction plays a significant role in housing economy, while simultaneously impacting other sectors such as timber, furniture and home appliance...