How to Deploy ML models

Deploying a machine learning model is one of the most important parts of an ML pipeline and really determines the applicability and accessibility of the model. Building a machine learning model is one of the most challenging tasks of building a ML pipeline for processing and predicting data but deploying it successfully is critical in order to convert your time and effort into real output. There are several important aspects of model deployment that need to be considered while thinking about deploying ML models.    Data access and query: You need to make sure that your model would have easy… Read More

The Naive Bayes Classifier

The new generation of people would probably never have to experience the stress of parsing through tons of emails, only to realise they are full of spam. Now, when you log into your email it’s highly likely that your email providers have implemented a form of filtering that automatically places all the spam emails into a separate spam folder. This phenomena is known as spam filtering, but there are other features, some being more subtle to the untrained eye such as text classification which involves assigning categories to unstructured text, or analysing the sentiment of messages from twitter.    Many… Read More

AI Compliance: Can AI Change/Transform Compliance?

AI Compliance: Can AI Change/Transform Compliance? Photo by @loicleray on Unsplash   All industries have some form of regulatory body governing them. Within these industries are entities of which each have their own regulations that are enforced by the regulatory agencies to ensure fair competition, the economic system remains stable, and to also protect the interest of common people like yourself and I. Therefore, it is the responsibility of the regulatory agencies to set the seal on:  A balanced economic growth Trust in the Economic system  Fair competition People are not exploited    We’ve been experiencing a technological revolution. The… Read More