A Walkthrough of the Machine Learning Life Cycle

A Walkthrough of the Machine Learning Life Cycle   Introduction Do you have a project idea but you don’t know where to start? Or maybe you have a dataset and want to build a machine learning model, but you’re not sure how to approach it? In this article, I’m going to talk about a conceptual framework that you can use to approach any machine learning project. This framework is inspired by the theoretical framework and is very similar to all of the variations of the machine learning life cycle that you may see online. So why is a framework important?… Read More


A Good Data Scientist is a Good Engineer First

A Good Data Scientist is a Good Engineer First   So you’ve gotten a good degree in data science and you know all about statistics and mathematics. But finding a job is still very difficult as a data science new grad. Most data science positions require multiple years of work experience or an advanced degree in this field. So why are data science jobs so hard to secure? And what makes them so valuable that they require multiple years of experience and/or an advanced degree?   The answer to this question is simple: It is very easy to do data… Read More


Model Governance Applied To Finance

Model Governance Applied To Finance   Machine learning is a subfield of the broader Artificial Intelligence field. It explores algorithms that provide systems with the ability to learn and improve automatically from experience without having to be explicitly programmed. The majority of modern applied Artificial Intelligence relies heavily on some sort of Machine Learning algorithm being used. Consequently, the terms Machine Learning (ML) and Artificial Intelligence (AI) have been used interchangeably in business, hence we would also use them interchangeably in this post.   It is no secret that the adoption of Artificial Intelligence in production is increasing rapidly across… Read More