Machine Learning: From Theory to Algorithms

A free book for downloading: Understanding Machine Learning: From Theory to Algorithms

SMART 2016

The Fifth International Conference on Smart Cities, Systems, Devices and Technologies - SMART 2016
May 22 - 26, 2016 - Valencia, Spain

Submission deadline: Jan, 31 2016

ML presentation

A good presentation by the basics of machine leraning

DSL for IoT

Sneps-Sneppe M., Namiot D. On web-based domain-specific language for internet of things // Proceedings of the 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). — United States: United States, 2015. — P. 287–292.

This paper discusses the challenges of the Internet of Things programming. Sensing and data gathering from the various sources are often the key elements of applications for Smart Cities. So, the effective programming models for them are very important. In this article, we discuss system software models and solutions, rather than network related aspects. In our paper, we present the web-based domain-specific language for Internet of Things applications. Our goal is to present the modern models for data processing in Internet of Things and Smart Cities applications. In our view, the use of this kind of tools should seriously reduce the time to develop new applications.

Chat bots in Twitter

Namiot D. Twitter as a transport layer platform // Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT), 2015. — Piscataway, NJ, United States: Piscataway, NJ, United States, 2015. — P. 46–51.

Internet messengers and social networks have become an integral part of modern digital life. We have in mind not only the interaction between individual users but also a variety of applications that exist in these applications. Typically, applications for social networks use the universal login system and rely on data from social networks. Also, such applications are likely to get more traction when they are inside of the big social network like Facebook. At the same time, less attention is paid to communication capabilities of social networks. In this paper, we target Twitter as a messaging system at the first hand. We describe the way information systems can use Twitter as a transport layer for own services. Our work introduces a programmable service called 411 for Twitter, which supports user-defined and application-specific commands through tweets

Chat bots in Facebook

Facebook provides API for chat bots in Messenger. I am still wondering, why Twitter does not follow to this obvious trend? We did this for Twitter several years ago