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A batch of the best highlights from what Kevin's read, .

• Finding and Understanding the Data • Cleaning the Data and Feature Engineering • Tuning and Evaluating • Using the Model and Presenting Results

The Machine Learning Process

Codecademy

But I can say that [Doyle Brunson's] impact on poker, at the macro and micro levels, cannot be overstated. More than a legend, he was *The Original*. The game will never see anyone like him again.

The Genius of Doyle

Matt Matros

In [theoretical computer science](https://en.wikipedia.org/wiki/Theoretical_computer_science), the **CAP theorem**, also named **Brewer's theorem** after computer scientist [Eric Brewer](https://en.wikipedia.org/wiki/Eric_Brewer_(scientist)), states that any [distributed data store](https://en.wikipedia.org/wiki/Distributed_data_store) can provide only [two of the following three](https://en.wikipedia.org/wiki/Trilemma) guarantees: [Consistency](https://en.wikipedia.org/wiki/Consistency_model) Every read receives the most recent write or an error. [Availability](https://en.wikipedia.org/wiki/Availability) Every request receives a (non-error) response, without the guarantee that it contains the most recent write. [Partition tolerance](https://en.wikipedia.org/wiki/Network_partitioning) The system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes.

CAP theorem

wikipedia.org

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