Maciej Marek - Data Science @ PMI – Journey from business problem to the data product industrialization
Have you ever wondered what is behind the choice of products available on the store shelves? Why at a given airport you can buy different products than at the train station? During our speech, we will present techniques and tools (such as Kubernetes, Docker, Airflow) that we used during the project dedicated to the optimization of the product catalog at Philip Morris International. We will tell you how data science works in a global organization like PMI and share our best practices on how to create and implement Data Science products in production environments.
Jarek Pałka - Graphs, email, clusters and melange
So how to use the graph database (Neo4j) to analyze the community based on the content of your mailbox, with the help of algorithms such as "clustering coeffcient" or "strongly connected components".
I invite you to an expedition to the world of graphs, during which we will look at graph theory and the Neo4j database. After a short theoretical introduction, we'll learn about Cypher, its syntax, data types, and the basics of graph modeling. We will build, materialize and traverse small and large graphs based on the content of my mailbox. We will learn algorithms and techniques for analyzing social networks.
18:10 Maciej Marek - Data Science @ PMI - Journey from business problem to the data product industrialization
19:20 Jarek Pałka - Graphs, email, clusters, and melange
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Browar Lubicz, Room "Dojrzewalnia"
ul. Lubicz 17J