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My name is Aleksander Molak. Friends call me Alex. My mission is to translate complex concepts into understandable bite-size pieces and share them with you.I am an independent machine learning researcher, author, advisor, educator and an entrepreneur.I am specialized in causality, natural language processing (NLP) and AI startegy.

Blog & Talk


Selected Blog Posts


Selected Talks & Workshops

2023-11-03

A Practical Guide to Causality in Python (For The Perplexed)
PyData NYC 2023

2023-04-19

The Battle of Giants - Causality vs NLP - From Theory to Practice (Workshop)
PyConDE & PyData Berlin 2023

2022-07-01

Causal Inference in Python: Estimating Causal Effects (Keynote)
KI Fabrigk Konferenz, Ingolstadt

2022-06-22

Practical Causal Discovery in Python
Data Science Summit ML Edition, Warsaw

2022-04-13

Practical graph neural networks in Python with TensorFlow and Spektral (Workshop)
PyConDE & PyData Berlin 2022

2022-03-29

Causality: An Introduction
PyData Hamburg

2022-03-24

Causal Disovery in Python
GHOST Day Applied ML Conf 2022

2021-11-10

What should I buy next? How to leverage word embeddings to build an efficient recommender system
PyData Tel Aviv 2021

2021-10-30

Modeling aleatoric and epistemic uncertainty using Tensorflow and Tensorflow Probability
PyData Global 2021

Causal Book


Causal Inference and Discovery in PythonDemystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data.

Causal Inference and Discovery in Python is a triple #1 Hot New Release and #1 Best seller on Amazon.

To learn more about causality, subscribe to weekly casual emails: causalpython.io

AI training for effective teams


How to help your team efficiently learn a new technology so they can start solving your most pressing problems from Day 1?
Compress months into hours with lespire.io trainings

Podcast


I host a video podcast on Causality and Causal AI called The Causal Bandits Podcast.The show is available on YouTube, Spotify, Apple Podcast, Google Podcast and all other major podcast platforms.

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