Next up in our machine learning concepts series we are going to discuss exploratory data analysis (EDA). EDA is a cornerstone of data science; you can think of it as a process for you to get to know your data by uncovering patterns, trends, relationships and potential issues. It can ...
Previously, we gave an introduction to the necessary steps to deploy a machine learning model as well as started the discussion of problem definition and data collection. Now that we have a firm understanding of the problem our machine learning model is attempting to solve we need to perform a ...
In part 1 of this Machine Learning Concepts series of posts I provided an introduction to the necessary steps to deploy a machine learning model. Check that out if you missed it. Now that we understand the requirements for deploying machine learning models we need to begin by defining what ...
Machine Learning models are key to the continued improvement of artificial intelligence. This article is the first in a series of articles that I’ll be publishing introducing reads to various Machine Learning concepts. First up, we introduce some typical steps involved in producing a machine learning model. 1. Problem Definition ...
Every couple of years a new or evolving technology bring about a whole new set of buzzwords that are often misunderstood by the general public. First, we saw the advent of the “cloud”, which is still not very well understood by most. We followed that up with Machine Learning (M.L.), ...
