About me

Welcome to my Medium page!

Bio

Hello there! I’m Michał, a machine learning engineer with a statistics background based in Zurich, Switzerland. On Medium, I usually write about topics I’m most interested in: AI, machine learning, computer vision, self-supervised representation learning, MLOps, Bayesian methods, and old-school statistics. You can find out more about me on my website.

Consulting

I’m available for consulting. You can ask me anything or book a 1:1 with me here.

Teaching

I’m a Data Science Instructor at DataCamp. Check out my courses:

• Handling Missing Data with Imputations
• Bayesian Data Analysis
• Intermediate Deep Learning with PyTorch

Medium

Don’t hesitate to subscribe for email updates on my new articles. Here is a sample of the popular ones:

Forget About ChatGPT

Self-Supervised Learning in Computer Vision

Buy Till You Die: Understanding Customer Lifetime Value

On the Importance of Bayesian Thinking in Everyday Life

6 Useful Probability Distributions with Applications to Data Science Problems

8 Tips for Object-Oriented Programming in Python

Confidence Intervals vs Prediction Intervals

Monte Carlo Dropout

The Gentlest of Introductions to Bayesian Data Analysis

Working with Amazon S3 buckets with Boto3.