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Career Coaching for Data Professionals
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Newsletter
Bartosz Mikulski
Building trustworthy data pipelines because AI cannot learn from dirty data
All Stories
Minkowski distance explained
Why most data science projects fail?
Product/market fit - buidling a data-driven product
How to test a product idea?
How to assign people to groups in a fair way using genetic algorithms
Using Helisa and Jenetics in Scala
Genetic algorithms in Scala - solving optimization problems
Using Helisa and Jenetics to help Fallout players
Re: DataOps Principles: How Startups Do Data The Right Way
Team vs. a bunch of individuals reporting work time in the same spreadsheet
From Scala to Python - Python dataclasses
Domain model in Python
Notetaking for data science
How to document a project?
Wilson score in Python - example
Using a surrogate model to interpret a machine learning model
How to explain a machine learning model?
Generalized Linear Models — Using linear regression when the dependent variable does not follow Gaussian distribution
Understanding the GLM from the statsmodels package
PCA — how to choose the number of components?
How many principal components do we need when using Principal Component Analysis?
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