Category Archives: Data Science

Dan Fitton

Evaluating Models in Azure Machine Learning (Part 1: Classification)

Introduction A common task in data science and analytics involves using data to make predictions.

Alexandru Malanca

Introduction to Artificial Neural Networks part three: Deep Learning & Reinforcement Learning

This post will cover the concept of deep learning and dive deeper into the reinforcement

Kalina Ivanova

Adatis sessions @The Sofia University

This week Adatis had the pleasure to deliver four presentations at the Business Analytics Master’s

Tom Jordan

An Ode to the Humble Decision Tree

When starting out in machine learning, the theoretical challenges associated with the field can seem

Alexandru Malanca

Introduction to Artificial Neural Networks part two: Gradient Descent, Backpropagation, Supervised & Unsupervised learning

Introduction The first part of this series outlined how a perceptron processes information forward for

Tom Jordan

ML Interpretability – What it is, and how it affects us

Picture the scene. It’s a young bank manager’s first day on the job, having survived

Sacha Tomey

Raising the bar (yet again!) | Analytics redefined with limitless Azure Synapse Analytics

Every business, whatever size, is a data-business today, further fuelling the need for enabling data-driven

Tom Jordan

4 Ways to Prevent Overfitting in Machine Learning

You have watched all the machine learning videos on YouTube, and you have completed every

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Alexandru Malanca

Introduction to Artificial Neural Networks

Introduction This blog post is the first of a 5-part series which aims to demystify

Dan Fitton

Mind Mastering Machines 2019: Summary

Last week we attended the Minds Mastering Machines (MCubed) conference at the QEII Centre in

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