Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

Once an algorithm is trained on massive datasets to recognize patterns, make decisions, and generate insights, it becomes an AI model. The more data it has been trained on, the more accurate it is.

Technical requirements: Mac, Linux, VS Code/Intellij View on Coursera Course Description The course is intended for individuals looking to understand the architecture patterns necessary to take large ...

Specialization: Software Architecture for Big Data Instructor: Tyson Gern and Mike Barinek Prior knowledge needed: Software engineering or big data experience View on Coursera Learning Outcomes ...

Patterns has elements of an MLOps platform — that is, a platform for building, testing and deploying machine learning models into production. MLOps is a burgeoning field, with lots of vendors ...