Data Science Simplified Part 4: Simple Linear Regression Models
In the previous posts of this series, we discussed the concepts of statistical learning and hypothesis testing. In this article, we dive into linear regression models. Be...
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Data Science Simplified Part 5: Multivariate Regression Models
In the last article of this series, we discussed the story of Fernando. A data scientist who wants to buy a car. He uses Simple Linear Regression model to estimate the p...
Do you want to hire a Data Scientist?
As mentioned by Tom Davenport few years back,Data Scientist is still a hottest job of century. Data scientists are those elite people who solve business problems by analy...
Operational Data and Social Justice
I spotted an interesting book in my local library recently: The Final Report of the Truth and Reconciliation Commission of Canada [1]. I thought to myself, our govern...
The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?
Why Machine Learning Doesn’t Work Well for Some Problems? Shahab Sheikh-Bahaei, Ph.D.* Principal Data Scientist Intertrust Technologies. Introduction Machine Learning (...
Heart of the Data Science Revolution… Mankato, MN?
My job has the great advantage of bringing me in touch with some outstanding and truly brilliant people. As an example, last year I spoke at the PrecisionAg Vision Conf...
Accelerating Complexity – AI Solutions to CRM Problems
“65% of a company’s business comes from existing customers, and it costs five times as much to attract a new customer than to keep an existing one satisfied.” ̵...
Understanding the Quantum Computing Landscape Today – Buy, Rent, or Wait
Summary: This is the second in our multi-part series on Quantum computing. In this article we’ll dive a little deeper into what’s available, what’s coming soon,...
A Semi-Supervised Classification Algorithm using Markov Chain and Random Walk in R
In this article, a semi-supervised classification algorithm implementation will be described using Markov Chains and Random Walks. We have the following 2D circles ...
Discovery of Temporal Neighborhoods through Discretization Methods and Markov Model
This article describes a few approaches and algorithms for temporal neighborhood discretization from a couple of papers accepted and published in the conference ICDM (...