Data engineering is a critical part of data science. Most of the time, they occur together in business applications. However, there are some fundamental differences betwe...
It is no secret that a mobile app is among the most powerful tools at the disposal of the market and that too across all sectors. They not only empower companies with the...
Looking to fill open tech positions with quality hires quickly? Like many other IT leaders, you may be facing the uphill task of finding skilled candidates for various te...
Data management (DM) discussions can be frustrating because both those feeling the pain and the consultants who try to help them are–90+ percent of the time, it seems�...
Computer-Aided Design (CAD) has become an essential tool in a great variety of industries. Software solutions like AutoCAD are extensively used across the business spectr...
Algorithmic trading can be fun and rewarding. To the unaware, it refers to trading based on pre-programmed instructions instead of human sentiment. The idea is to leverag...
While nowadays everyone talk about machine learning, data science and AI, few are mentioning statistical science. Its association, The American Statistical Association, f...
In this short article, I’ll try to capture the main differences between the MLops tools Ploomber and Kubeflow. We’ll cover some background on what is Ploomber, Kubefl...
Data science management has become an essential element for companies that want to gain a competitive advantage. The role of data science management is to put the data an...
I saw a nice representation of distance metrics. This topic is not easy to explain. This representation provides a good overview (link below to download larger pdf image)...