Build your own Natural Language Processing based Intelligent Assistant using Python, It’s easy!

Posted on January 13, 2017 by Prachi Kumar

Before we begin, let us talk about how Mike (a fictional character) spends a typical morning. Mike begins his day by searching for breakfast recipes on Google Now (https://en.wikipedia.org/wiki/Google_Now). After a filling breakfast, Mike starts getting ready for work. He asks Siri (http://www.apple.com/in/ios/siri/) to tell him the weather and traffic conditions for his drive to work. Finally, as Mike gets ready to leave the house, he asks Alexa (https://en.wikipedia.org/wiki/Amazon_Alexa) to dim the lights and thermostat. It is not even 10 a.m. yet, but Mike like many of us has already used three intelligent personal assistant applications using Natural Language Processing (NLP). We will unravel the mysteries of building intelligent personal assistants with a simple example to build such an assistant quite easily using NLP.

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How cloud computing could improve your research.

Posted on January 9, 2017 by David Guerra Rodríguez

Processing large datasets or working with huge data is a usual stage in almost any kind of research. The problem appears when processing these data requires long processing time on any kind of personal laptop. In order to solve that issue, we have at our hands the possibility of using any major compute cloud provider in order to accelerate that processing stage wasting minimal time and resources. Cloud computing allows us with a few clicks to build a computer cluster, process our data, get the results and destroy that cluster for only a few dollars.

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