7 Types of Regression Techniques you should know
This article was posted by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry. Introduction Lin...
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A guide to manipulating, analyzing, and visualizing data in R
R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. Learn the fundamentals o...
Deep Learning Infrastructure for Extreme Scale with the Apache Kafka Open Source Ecosystem
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning...
AI with Pyramids of Self Programmable Gates
Guest blog post by David Enríquez Arriano. For more information or to get higher pictures resolution, contact the author (see contact information at the bottom of this a...
A “quick” introduction to PyMC3 and Bayesian models
A “quick” introduction to PyMC3 and Bayesian models, Part I In this post, I give a “brief”, practical introduction using a specific and hopefully relate-able exa...
AI Strategies – Incremental and Fundamental Improvements
Summary: Before starting to develop an AI strategy, make sure your team understands the limits of what is reasonable today, as well as incremental improvements that mig...
A Note on Numerical Modality in Large Datasets
Numerical Modality The mode is one of the basic statistics which is defined as the most common value over an array. When the values of the array are categorical, the mode...
GraphQL & gRPC (Part 1)
GraphQL & gRPC (Part 1) GraphQL(Graph Query Language) is a powerful query language that has allowed huge organizations, like Facebook and Github, to expose massive a...
How I Learned to Stop Worrying and Love Uncertainty
Humans and uncertainty Since their early days, humans have had an important, often antagonistic relationship with uncertainty; we try to kill it everywhere we find it. Wi...
Is it ‘always’ necessary to treat outliers in a machine learning model?
Outliers is one of those issues we come across almost every day in a machine learning modelling. Wikipedia defines outliers as “an observation point that is distant fro...