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… Read More »Data Science Simplified Part 5: Multivariate Regression Models
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… Read More »Do you want to hire a Data Scientist?
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… Read More »Operational Data and Social Justice
It’s only when there’s enough representative data from the field they’re applied to, that process automation by Machine Learning technologies can really be harnessed, says Jean-Cyril Schütterlé,… Read More »Managing the tricky balance between data pooling and data retention with predictive platforms
Why Machine Learning Doesn’t Work Well for Some Problems? Shahab Sheikh-Bahaei, Ph.D.* Principal Data Scientist Intertrust Technologies. Introduction Machine Learning (ML) is closely related to… Read More »The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?
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… Read More »Heart of the Data Science Revolution… Mankato, MN?
“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… Read More »Accelerating Complexity – AI Solutions to CRM Problems
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… Read More »Understanding the Quantum Computing Landscape Today – Buy, Rent, or Wait
In this article, a semi-supervised classification algorithm implementation will be described using Markov Chains and Random Walks. We have the following 2D circles dataset (with 1000 points) with only 2 points labeled… Read More »A Semi-Supervised Classification Algorithm using Markov Chain and Random Walk in R
This article describes a few approaches and algorithms for temporal neighborhood discretization from a couple of papers accepted and published in the conference ICDM (2009) and in the journal IDA (2014),… Read More »Discovery of Temporal Neighborhoods through Discretization Methods and Markov Model
