Deep neural networks offer a lot of value to statisticians, particularly in increasing accuracy of...
Author - Jonathan Johnson
Edge AI in 2020: 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...
What is Kubeflow? Machine Learning Basics with Kubeflow
Photographers have Photoshop, architects have AutoCAD, and machine learning engineers have Kubeflow...