## WHAT the book is like

What is predictive modeling? What kind of data I need to train a model? Which algorithm I should choose? How to configure the parameters? How should I know which model is the most suitable one? Most importantly, how can I build the best model?

For each question, you can find a reliable answer in our book. Here are data mining theories as well as exercises and real-world cases. This will equip you with a solid understanding about the data mining techniques and their uses, and guarantee a quick and manageable start.

## WHY you need THIS book

Because you DON'T need another syntax-focused yet algorithm-absent AI handbook that is essentially a Python programming book, which arms you only with luck for model building;

Because you DON'T need the empty theory inculcation and the abstract jargons;

Because you DON'T need a mathematically high-threshold algorithm design manual that difficult to read;

Because you NEED a beginners-friendly, just-in-time book to create your best model.

## HOW easy data modeling can be

You only need the high school mathematical knowledge to be a master hand of data modeling.

But, as life has no shortcuts, you can't expect to have a deep understanding about the numerous data mining algorithms by reading this one book (a PhD in statistics is surely not a waste of time). Yet on the other hand, you will be able to, in a relatively easy way, grasp the basic data mining logic, build models using proper tools, learn to evaluate and choose models and perform optimizations.