Continuous Machine Learning

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1. Introduction Convolution is a mathematical operation that takes two inputs and produces a third. One input is the signal, the data we want to transform. The other is the kernel (also called a filte

Introduction I wanted to understand how a piece of memory is consumed, allocated and managed when a program runs. This curiosity led me down a fascinating rabbit hole of memory management, garbage collection, and the inner workings of Go's runtime. W...

What is Concurrency? Concurrency is about dealing with lots of things at once. From the computer’s perspective , concurrency is about executing instructions from multiple processes without keeping the CPU idle. This is already happening at the OS lev...

Introduction to docker

Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects.
It can enable programmatic access to the Machine Learning back-end by creating automated pipelines that simplify model experimentation and deployment while introducing continuous model performance and retraining
This practically means we automate the repetitive process that drives production of these Machine Learning models.