AI Toolkits: A Primer
If you’re not an AI specialist, but trying to understand the area, it helps to know the major tools that data scientists use to create AI systems. I thought I would survey the common toolkits, highlight which are the most popular, and explain which ecosystems they connect to.
Contemporary AI workloads divide into two classes. The first of these classes, and the overwhelming majority, is machine learning. These incorporate the most common algorithms used by data scientists: linear models, k-means clustering, decision trees and so on. Though we now talk of them as part of AI, this is what data scientists have been doing for a long time!
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