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Summer School of Research Methods 2019
Summer School of Research Methods Have you heard about the Big Bone and Big Data? … bear with us, these things have something in common and that is the Summer School of Research Methods, which happened in the longest week of the year, near one of the highest peaks in Bulgaria. Just let us tell […]
Data Science Conference is looking for inspiring Speakers and Tutors
Data Science Conference, one of the biggest conferences dedicated to data science in Europe, will be held for 5th annual time on 19-20 November in Belgrade. The Conference team is looking for inspirational individuals who would like to become a part of their Speakers and Tutors team. For this year they have planned to organize […]
Meetup Recap: ML by Students – AI Hackathon Solutions
This month Meetup was entirely devoted to the students who have implemented machine learning algorithms for developing interesting AI solutions during Hackathons (a weekend-long intense competition for programming). At such hack marathons, most of the participants are developing their applications and prototypes without much sleep but with much passion to turn their idea into reality. […]
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Predicting weather disruption of public transport – provided by Ernst and Young
Datathon2020 – Predicting weather disruption of public transport – provided by Ernst and Young¶This Project was inspired from the Business Case of Data Science Society Global 2020 Hackathon hosted from May 15 – 17 , 2020 click here for details about the Business Case and the data dictionary Data Sources :¶The datasets used in this […]
Datathon 2020 – NetInfo Article Recommender – Newbies
The project aims to build a recommender system for the website called Vesti.bg. As the company runs to serve its huge customer base (as clear from the given data!) completely and for their best interests. And in order to do that it wants to recommend its users with articles that they should read next (based on mimicking their reading pattern). This is expected to save a lot of its users’ time in thinking. Also, with better and faster recommendations come people’s interest and that results in the company’s growth. The Company actually has a huge customer base. So, providing them with what they might like can really help it in making good money.
ACES solution to article recommender engine case – provided by NetInfo
Authors The ACES team that worked on the solution is listed in alphabetical order: Atanas Blagoev (Atanas.Blagoev@experian.com) Atanas Panayotov(Atanas.Panayotov@experian.com) Emil Gyorev (Emil.Gyorev@experian.com) Georgi Buyukliev (Georgi.Buyukliev@experian.com) Iliana Voynichka (Iliana.Voynuchka@experian.com) Slav-Konstantin Ivanov (Slav-Konstantin.Ivanov@experian.com) Ventsislav Yordanov (Ventsislav.Yordanov@experian.com) Business Understanding Even though the news is perceived as one of the most important sources of information to people in […]