“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.” ̵...
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,...
In this article, a semi-supervised classification algorithm implementation will be described using Markov Chains and Random Walks. We have the following 2D circles ...
This article describes a few approaches and algorithms for temporal neighborhood discretization from a couple of papers accepted and published in the conference ICDM (...
For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models....
Big Data Reviews this time actually connect to my previous article entitled “Big Data Analysis” related to the benefits of what can be obtained by the Big Dat...
Data scientists and chief data officers are definitely the scorching use lately, and government organizations at all stages are performing for getting extra away from the...
In this article, Data Scientist Pramit Choudhary provides an introduction to both statistical and machine learning-based approaches to anomaly detection in Python. Introd...
This Python cheat sheet was produced by DataCamp. Click on the image to zoom in. The original, published here, is available as a PDF document. The translation from PDF to...
This infographic comes from TechEmergence. TechEmergence is a market research firm specializing in the applications and implications of artificial intelligence/machine ...