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… Read More »AI Strategies – Incremental and Fundamental Improvements
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… Read More »A Note on Numerical Modality in Large Datasets
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 amounts… Read More »GraphQL & gRPC (Part 1)
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… Read More »How I Learned to Stop Worrying and Love Uncertainty
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… Read More »Is it ‘always’ necessary to treat outliers in a machine learning model?
P – Value In this blog we will discuss the important functionality of p – value in statistical experiments. Why p – value is the… Read More »Significance of p-value
Myth #1: You can only do research in an academic setting. Not true. There are plenty of research labs owned by big and small companies… Read More »5 Myths About PhD Data Scientists
Sales prediction is an important part of modern business intelligence. First approaches one can apply to predict sales time series are such conventional methods of… Read More »Modern Approaches for Sales Predictive Analytics
Myth #1: You can only do research in an academic setting. Not true. There are plenty of research labs owned by big and small companies… Read More »5 Myths About PhD Data Scientists
Data Scientists 4.0 The 4th Industrial Revolution was publicly announced in 2011 at the Hannover Fair (1). Since then, many resources have been appeared around… Read More »Data Scientists 4.0
