Data Discovery for ML Engineers
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
Back in September, I predicted that Covid-19 would spike throughout the winter but fade by April as it transitioned from a pandemic virus to an… Read More »DSC Weekly Digest: Transitions and the Arc of Systems Theory
When it comes to technology in the world of business, AI and machine learning (ML) are among the commonly discussed terms. Technology has been making… Read More »AI, ML, or DL – Learn what it Means
I spent much of my career in business intelligence and marketing. Programming in R was never one of my top skills. While I started programming… Read More »Neat R Plots with the Cairo Graphics Library
The cornerstone of fleet management is maritime reports, which record everything that has happened onboard any given ship in the past 24 hours. The difficulty… Read More »DSC Webinar Series: Cloud Data Warehouse Automation at Greenpeace International
Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of… Read More »DSC Webinar Series: Natural Language Trends in Visual Analysis
In this latest Data Science Central webinar, we will introduce and demonstrate how you can perform common time-series Machine Learning tasks such as Forecasting and… Read More »DSC Webinar Series: No-code ML for Forecasting and Anomaly Detection
On average, 80% of AI projects fail to make it to production. But it IS possible to successfully launch AI, at scale, that is built… Read More »DSC Webinar Series: Embracing Responsible AI from Pilot to Production
With mathematical optimization, companies can capture the key features of their business problems in an optimization model and can generate optimal solutions (which are used… Read More »DSC Webinar Series: How to Create Mathematical Optimization Models with Python
Mathematical optimization (MO) technologies are being utilized today by leading global companies across industries – including aviation, energy, finance, logistics, telecommunications, manufacturing, media, and many… Read More »DSC Webinar Series: Mathematical Optimization Modeling: Learn the Basics