Interviewed on what is it like to work in the field, how do you get started with AI, and more.
An in-depth look at Microsoft's Automated Machine Learning library, gradually training and decomposing a model able to achieve top 4% scores in Kaggle's Titanic competition.
The differences between the two most popular (at the time) options of doing machine learning in the Azure cloud - Azure Machine Learning Service and Azure Machine Learning Studio (classic).
A quick look at the major types of recommender systems, their advantages and disadvantages, and how they can be used effectively.
A very hands-on intro to Azure Machine Learning Studio classic and Kaggle competitions.