Aleksander Molak
Aleksander Molak is a Machine Learning Researcher, Educator, Consultant and Author who gained
experience working with Fortune 100, Fortune 500, and Inc. 5000 companies across Europe, the USA,
and Israel, designing and building large scale machine learning systems.
On a mission to democratize causality for businesses and machine learning practitioners, Aleksander is a prolific writer, creator, international speaker and the author of a best selling book Causal Inference and Discovery in Python.
He’s a founder of Lesprie.io a company that provides machine learning trainings for corporate
teams, the leader of CausalPython.io community and the host of the Causal Bandits Podcast
Aleksander has provided workshops , and trainings for companies across industries, including
market leaders like Mercedes Benz innovative disruptors like e:fs TechHub, and more.
Sessions
With an average of 3.2 new papers published on Arxiv every day in 2022, causal inference has exploded in popularity, attracting large amount of talent and interest from top researchers and institutions including industry giants like Amazon or Microsoft.
There’s a very good reason for this upsurge in popularity. In our contemporary data culture we got accustomed to thinking that traditional machine learning methods can provide us with answers to any interesting business or scientific questions.
This view turns out to be incorrect. Many interesting business and scientific questions are causal in their nature and traditional machine learning methods are not suitable to address them.
In this talk, dedicated to data scientists and machine learning engineers with at least 3 years of experience, we’ll show why this is the case, we’ll introduce the fundamental tools for causal thinking and show how to translate them into code.
We’ll discuss a popular use case of churn prevention and demonstrate why only causal models should be used to solve it.
All in Python, repo included!