Getting Ahead in Kaggle Competitions With Automated Machine Learning
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.
Talks
I gave my first conference talk ever at Codecamp Iasi in 2011, and I've been a regular speaker ever since.
The slides for most of my talks are on Speaker Deck, with the code available on GitHub. Bellow you'll see some of my favorite recorded sessions, posted on my YouTube channel.
Machine Learning in Azure - Service versus Studio
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).
Mind Reading - Understanding Recommender Systems
A quick look at the major types of recommender systems, their advantages and disadvantages, and how they can be used effectively.
Getting Started with Machine Learning Using Azure ML Studio classic and Kaggle
A very hands-on intro to Azure Machine Learning Studio classic and Kaggle competitions.