In this blog, we will see how to make our machine learning model’s prediction faster with a recently open-sourced library Hummingbird.

Nowadays, we can see a lot of frameworks for deploying or serving the machine learning model into production. As a result, It is a headache for a data scientist to choose between these frameworks, keeping in mind how their model either Sklearn or LightGBM or PyTorch will perform in real-world or production environment.

In addition to take care of accuracy and performance of a model , speed is also an important thing frameworks are taking care of.

#ai #analytics #artificial intelligence #ml # ai and data engineering #python #data science #deployment #fast data #machine learning #machinex