Decision Trees in Machine Learning Explained
Decision trees in machine learning are a common way of representing the decision-making process through a branching, tree-like structure. It’s often used […]
Machine Learning in Analytics
Whether being used to clean data, surface trends and insights, or make forecasts, machine learning is increasingly becoming an important tool for data […]
Predicting Customer Demand With Machine Learning
Demand is a key indicator of the operational and expansion prospects for retail organisations, and being able to forecast this can be […]
Understanding the Machine Learning Maturity Model
As machine learning gains traction across industries, businesses are finding new and novel uses for the technology. However, as soon as your […]
Machine Learning Regression Explained
Machine Learning Regression is a technique for investigating the relationship between independent variables or features and a dependent variable or outcome. It’s […]
Breaking Down Machine Learning Silos to Maximise Value
Building walls to tear them down Traditional FSI organisations have been institutionally siloed mainly due to regulatory, legal and operating pressures. Business […]
Machine Learning vs Artificial Intelligence
Artificial intelligence is a broad field of research which seeks to create systems that mimic or even surpass human intelligence. Machine learning […]
Why Banking Omnichannel Success Needs MLOps to Truly Scale
Historically, the high street branch was the main channel of distribution for banks. Over time this was augmented by ATMs, telebanking and […]
Six Types of AI Bias Everyone Should Know
In my previous blog we looked at the difference between Bias, Fairness and Explainability in AI. I included a high level view of […]
Machine Learning Bias and Fairness
Machine learning is becoming integral to how the modern world functions, with more and more sectors harnessing the power of algorithms to automate […]
Machine Learning Model Lifecycle
The machine learning lifecycle encompasses every stage of machine learning model development, deployment, and performance monitoring. This includes the initial conception of […]
Anomaly Detection in Machine Learning
Anomaly detection is an important factor for every stage of the whole machine learning lifecycle. The development and building of a machine learning […]