Softmax function, or normalized exponential function can be used to represent a categorical distribution, i.e. for probability computation in probability theory.

This website does not host notebooks, it only renders notebooks available on other websites.

This notebook documents that analysis conducted for the August 13, 2017, Los Angeles Times story "Despite California's strict new law, hundreds of schools still don't have enough vaccinated kids."

Here's the structure we want to mimic:

`https://github.com/gignosko/DjangoCon_2017`

To use language in machine learning (for instance, how Skype translator translates between languages, or how Gmail Smart Reply automatically suggests possible responses for your emails), we need to represent words as vectors.

In stat. mech literature, this technique is called Metadynamics. Basically, the force being applied to a particle is dependent on the accumalated bias as the particular value of feature/collective variable. This comes down to a bunch of chain rules, all ...

Click here to download the worksheet file (ipynb format). To run it, you must start SageMath with the Jupyter notebook, via the command sage -n jupyter

With this Jupyter notebook I provide some minimal examples on how to compute some common NMR observables sensitive to chemical exchange. The aim is to help people who want to apply the methodology we recently presented in our manuscript "Mechanistic ...

Through similarity measures (dynamic time warping), machine learing (K Means clustering) and some good luck we can do this.

See: http://www.nature.com/nbt/journal/v26/n8/full/nbt1406.html

This is a game to be played on quantum computers. It is designed so that it can run on the prototype devices of 2017, but it'll only really reach its potential on the fault-tolerant quantum computers of the future. From ...

Other code examples and content are available on GitHub . The PDF and ebook versions of the book are available through Leanpub .

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I refer the reader to the fantastic blog post of Jan van der Vegt where he explains in detail different ways of unconditional and conditional density estimation, and the application of Kernel Mixture Networks for this purpose. This notebook is ...

If you want to become an expert in Python, you should definitely watch this PyData talk from James Powell.

Previamente, basado en el análisis sobre el excel provisto por Yamila Abbas ,se determinaron algunos posibles marcadores para detectar lo que en Jugada Preparada se entiende que son usuarios o automatizados, o con comportamiento anómalo. Si bien aparentemente en la ...

Other code examples and content are available on GitHub . The PDF and ebook versions of the book are available through Leanpub .

This website does not host notebooks, it only renders notebooks available on other websites.