Can a machine learning product be trusted?

Author: Michele Usuelli, Lead Data Scientist, Microsoft Enterprise Services The data scientist develops products based on machine learning models, having as a result an actionable answer. In other words, a machine is advising an end user about some actions to perform. Why would we trust the advice of a machine? Before designing a machine learning… Read more

How to deliver a data science project

Author: Michele Usuelli, Lead Data Scientist, Microsoft Enterprise Services What is a data science project? How does it get delivered? What are the key aspects? There is a lot of hype around data science. The purpose of this article is to provide clarity and the content comes from the successful deliver of project with Microsoft… Read more

Measuring Model Goodness – Part 2

Author: Dr. Ajay Thampi, Lead Data Scientist Measurability is an important aspect of the Team Data Science Process (TDSP) as it quantifies how good the machine learning model is for the business and helps gain acceptance from the key stakeholders. In part 1 of this series, we defined a template for measuring model goodness specifically… Read more

Measuring Model Goodness – Part 1

Author: Dr. Ajay Thampi, Lead Data Scientist Data and AI are transforming businesses worldwide from finance, manufacturing and retail to healthcare, telecommunications and education. At the core of this transformation is the ability to convert raw data into information and useful, actionable insights. This is where data science and machine learning come in. Building a… Read more