GPT-3 is not revolutionary. Here, I’ll show you how a little perspective helps us understand what...
Author - Jonathan Johnson
What’s a Deep Neural Network? Deep Nets Explained
Deep neural networks offer a lot of value to statisticians, particularly in increasing accuracy of...
Edge AI: Edge Artificial Intelligence Explained
Edge AI utilizes the compute available on phones, sensors, raspberry pis, and other edge devices to...
Design Thinking, Lean Startup, and Agile: What’s The Difference?
It’s hard to know what people want. Who would have guessed the fidget spinner would be such a hit...
Precision, Recall & Confusion Matrices in Machine Learning
So, you’ve built a machine learning model. Great. You give it your inputs and it gives you an...
Docker Commands: A Cheat Sheet
Docker’s purpose is to build and manage compute images and to launch them in a container. So, the...
Interpretability vs Explainability: The Black Box of Machine...
Interpretability has to do with how accurate a machine learning model can associate a cause to an...
What Is Dark Data? The Basics & The Challenges
Dark data and unstructured data are about the same thing. The difference lies in to whom the term...
Gartner’s AI Maturity Model: How AI Can Work for You
AI is known as artificial intelligence. Assessing its value is notoriously tricky, for many reasons...
3 Keys to Building Resilient Data Pipelines
Resiliency means having an ability to adapt. Resilient data pipelines adapt in the event of failure...