By Stack Overflow Blog -
2020-10-12
The goal of building a machine learning model is to solve a problem, and a machine learning model can only do so when it is in production and actively in use by consumers. As such, model deployment is ...
By McKinsey & Company -
2021-02-19
Large-scale data-architecture redesigns can tie up AI transformations. Five steps can help companies break through the gridlock.
By KDnuggets -
2020-12-15
An extensive overview of Active Learning, with an explanation into how it works and can assist with data labeling, as well as its performance and potential limitations.
By Medium -
2020-12-08
As you know, data science, and more specifically machine learning, is very much en vogue now, so guess what? I decided to enroll in a MOOC to become fluent in data science. But when you start with a…
By Medium -
2020-11-05
Here is what you tell them.
By Medium -
2020-12-01
If I learned anything from working as a data engineer, it is that practically any data pipeline fails at some point. Broken connection, broken dependencies, data arriving too late, or some external…
