Oct

9

I feel so lucky to have come across this book. And I think it's so relevant to the market. The book is titled Programming Collective Intelligence and markets can be thought of as a form of collective intelligence. Like some people may suggest, a market can be described as a single brain made up of other brains.

The book is very practical and gives examples on how to make predictions amongst collective entities participating in E-commerce sites, Dating websites, Social Networks, Real Estate and so on. It has no mathematics (that I have seen so far). Everything is written is very clean readable Python code (no use of obscure Python features or keywords).

Here is the book's own description of Chapter 8:

Introduces decision trees as a method not only of making predictions, but also of modeling the way the decisions are made. The first decision tree is built with hypothetical data from server logs and
is used to predict whether or not a user is likely to become a premium subscriber. The other examples use data from real web sites to model real estate prices and "hotness."

And Chapter 11:

Introduces genetic programming, a very sophisticated set of techniques that goes beyond optimization and actually builds algorithms using evolutionary ideas to solve a particular problem. This is demonstrated by a simple game in which the computer is initially a poor player that improves its skill by improving its own code the more the game is played.

Table of contents & book description


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