This article focuses on using a Deep LSTM Neural Network architecture to provide multidimensional time series forecasting using Keras and Tensorflow - specifically on stock market datasets to provide momentum indicators of stock price.

The following article sections will briefly touch on LSTM neuron cells, give a toy example of predicting a sine wave then walk through the application to a stochastic time series. The article assumes a basic working knowledge of simple deep neural networks.

Generates random text from Markov chains of tagged source text.

An example text is included which was derived from Plato's Ion:

Have you already forgotten what you were saying?
A rhapsode ought to interpret the mind of the poet.
For the rhapsode ought to interpret the mind of the poet.
For the poet is a light and winged and holy thing,
and there is Phanosthenes of Andros,
and Heraclides of Clazomenae,
whom they have also appointed
to the command of their armies and to other offices,
although aliens, after they had shown their merit.
And will they not choose Ion the Ephesian to be their general,
and honour him, if he prove himself worthy?

There’s a fairly common argument that pops up on programming forums, and it’s about the nature of what “garbage collection” means. In the research world, this is what GC means: Garbage collection (GC), also known as automatic memory management, is... | Steve Klabnik | “The most violent element in society is ignorance.” - Emma Goldman

I recently wrote a Markov chain package which included a random text generator. The generated text is not very good.

The rest of this post covers the evolution of the main algorithm.

Imagine mobile phones running a desirable operating system, at a reasonable cost. Not running Google or any other “data hungry” services.

And at the same time, mobile phone operating systems where personal and corporate users can install and use the mainstream applications of their choice, if they wish so.

That’s what /e/ is going to provide: attractive mobile phone operating systems with better privacy.

Control with wake word detection, transcribe using speech to text and understand meaning using speech to intent engines. Available on embedded platforms, Android, iOS ...