## The hardest parts of data science

Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

Defining feasible problems and coming up with reasonable ways of measuring solutions is harder than building accurate models or obtaining clean data.

My team’s solution to the Yandex Search Personalisation competition (finished 9th out of 194 teams).

Insights on search personalisation and SEO from participating in a Kaggle competition (finished 9th out of 194 teams).

Summary of a Kaggle competition to forecast bulldozer sale price, where I finished 9th out of 476 teams.

Data science has been a hot term in the past few years. Still, there isn’t a single definition of the field. This post discusses my favourite definition.

Summary of my approach to the Greek Media Monitoring Kaggle competition, where I finished 6th out of 120 teams.

Summary of a talk I gave at the Data Science Sydney meetup with ten tips on almost-winning Kaggle competitions.

Pointers to all my Kaggle advice posts and competition summaries.

First post! An email I sent to members of the Data Science Sydney Meetup with tips on how to get started with Kaggle competitions.