Practical thinking on analytics, AI, learning, and building data teams that actually stick.
What machine learning actually is, and a tour of supervised learning: classification, forecasting, recommendation, optimisation and anomaly detection.
Unsupervised learning: clustering, association and dimensionality reduction, plus how to choose the right model for a problem.
You spent three months and a decent chunk of budget on Power BI dashboards. They look great. Nobody opens them. Let us talk about why.
If one more person tells me AI is going to revolutionise everything, I am going to need a cup of tea and a lie down. Here is what it actually does.
You booked the training. Everyone attended. The feedback forms said it was great. Six months later, nothing has changed. Sound familiar?
The CV looked perfect. The interview went well. Three months in, you are still explaining what the acronyms mean. There is a better way to find data people.