AI in Production: the Final Frontier
Production is often viewed as the final frontier in the machine learning process. By now, your data scientists trained a model on your data, the machine learning and soft...
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DSC Weekly Digest 26 October 2021
When the Power Goes Out Seattle has a reputation for being rainy, though it’s actually drier than many other places that don’t have that reputation. However, ...
A minimum viable learning framework for self-learning AI (machine learning and deep learning)
AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as a) They try to learn everything b) They do not know in which order...
A New Machine Learning Optimization Technique – Part I
In this series, we discuss a technique to find either the minima or the roots of a chaotic, unsmooth, or discrete function. A root-finding technique that works well for c...
DSC Weekly Digest 19 October 2021
The Art of Model Making When I was in the seventh grade, our teacher took us on a field trip to see an architect as part of an exploration of careers that seemed to have ...
DSC Podcast Series: The Battle for Top AI Talent
In this latest Data Science Central podcast, Dan Chaney, VP of Enterprise AI & Data Science Solutions, will talk about some key best practices for recruiting and ret...
Features Part 3: Features as Economic Assets
One of the follow up topics from my original blog “Feature 01 – Are Features the new Data?”was defining what makes something an Asset and how does that ...
MLflow Installation
In this article, we cover How to install MLflow. Before we dive into the process, let’s begin with introducing MLOps MLOps By definition, MLOps is a cross-functiona...
DSC Weekly Digest 12 October 2021
Announcements Build statistical and analytical expertise as well as the management and leadership skills necessary to implement high-level, data-driven decisions in North...
Object Detection Technology – How It Works And Where Is It Used?
Object detection technology is crucial in AI [artificial intelligence] because it allows the computer to view the environment by identifying objects in videos or ...