Evaluating Models: Get Ready to ROC

Graph databases - What, how and why

Graph databases – Origins, how they work, strengths and weaknesses

Inside the classic machine learning algorithms

Algorithms like Neural Nets, Deep Learning, SVM and KNN are dominating the Machine Learning world. You don’t need to know the maths behind them but you do need to know how they work in order to use them effectively. This talk will explain just that.

Evaluating Models: Get Ready to ROC

Introducing the ROC curve and its use in Azure ML.

Analytics Master Class-exploiting exotic patterns in data

There are some little-known but very useful ways of extracting information from data. This session will cover: • Monte Carlo simulations • Nyquist’s Theorem • Simpson’s paradox • Benford’s Law These will rock your world (they certainly rocked mine).

MDX and DAX-compare and contrast

This talk looks at MDX and DAX, examining their similarities and differences. It won’t turn you into an expert in either but it will help you to decide, given your particular career plans, if either or both are worth learning.

Evaluating Models: Get Ready to ROC

Introducing the ROC curve and its use in Azure ML.