Modeling Mindsets: The Many Cultures Of Learning From Data

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.

Modeling Mindsets opens the door to all these different ways of thinking. The book is packed with intuitive 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.