# Modeling Mindsets

*The Many Cultures of Learning From Data*

*2022-09-28*

# Summary

We use data to advance science, make businesses more profitable, automate annoying tasks, and develop smart products.
But there is a middleman between data and its usefulness: the **model**.
The model represents a simplified aspect of the world; it’s the glue that connects data and world.

Statistics versus machine learning, frequentist versus Bayesian inference, causation or association, … There are many mindsets to consider for building models from data. Each of these modeling mindsets has its own assumptions, strengths, and limitations.

**The best modelers, researchers, and data scientists don’t stubbornly stick to just one mindset**.
The best modelers mix and match the mindsets.

It can take years to truly grasp a new mindset.
Most books and courses jump right into math and methods instead of discussing the fundamental mindset.
But learning a new mindset doesn’t have to be this difficult.
**Modeling Mindsets introduces many cultures of learning models from data**.
Each mindsets enhances your modeling toolbox and makes you well-rounded and pragmatic modeler.

The book is packed with **high-level explanations and illustrations**.
Quickly get an overview of the strengths and the limitations of each modeling mindset.
Expand your mind when it comes to modeling the world using data.