Ontotext case – Team _A

Posted 13 CommentsPosted in Learn, NLP, Team solutions

The objective of our task is extract parent-subsidiary relationship in text. For example, a news from techcruch says this, ‘Remember those rumors a few weeks ago that Google was looking to acquire the plug-and-play security camera company, Dropcam? Yep. It just happened.’. Now from this sentence we can infer that Dropcam is a subsidiary of Google. But there are million of companies and several million articles talking about them. A Human being can be tired of doing even 10! Trust me 😉 We have developed some cool Machine learning models spanning from classical algorithms to Deep Neural network do this for you. There is a bonus! We just do not give you probabilities. We also give out that sentences that triggered the algorithm to make the inference!  For instance when it says Orcale Corp is the parent of  Microsys it can also return that the sentence in its corpus ‘Oracle Corp’s  Microsys customer support portal was seen communicating with a server’, triggered its prediction.

Datathon Kaufland Solution – Predictive Maintenance Based on Sensor Data for Forklifts

Posted 2 CommentsPosted in Prediction systems

Kaufland-Case 1. Business Understanding Industrial vibration analysis is a measurement tool used to identify, predict, and prevent failures. Implementing vibration analysis on the machines will improve the reliability of the machines and lead to better machine efficiency and reduced down time eliminating mechanical or electrical failures. Vibration analysis are used to identify faults in machinery, plan machinery […]

Cryptocurrencies forecasting

Posted 1 CommentPosted in Datathons Solutions, Learn, Team solutions

Cryptocurrencies are a type of digital currencies that, since their creation, have become a global phenomenon known to most people. Our job is to build a machine learning algorithm able to forecast their price based on a set of given features such as that currency’s price, market cap, circulating supply etc.

Hack the News Datathon Case – Propaganda Detection

Posted 3 CommentsPosted in NLP

1. Business Problem Formulation The current political landscape is shaped by extreme polarization of opinions and by the proliferation of fake news. For example, a recent study published in Science has found that rumors and fake news tend to spread six times faster than truthful information. This situation both damages the reputation of respectable news outlets and […]

Datathon Air Sofia Solution – Telelink Televised by Teleloonies

Posted 4 CommentsPosted in Datathons Solutions

Techonnology and methods used: R – plyr, dplyr, tidyverse, stringr, data.table, geohash, ggmap, maps, robustbase, geosphere, pracma, Hmisc, ggplot2, tidyquant, reshape2, pastecs Python – s3fs, pandas, numpy, matplotlib, plotly, geohash2, folium, geopy OLS Regression, Ridge Regression, Decision Trees Introduction Air pollution beyond the norms is a common problem in many locations. Examining the causes behind and being able to predict […]

Datathon2020 – Optimize Retail Supply Chain case – provided by Kaufland

Posted 2 CommentsPosted in Datathon cases

Artificial Intelligence (AI) is making huge impact in the Logistics Industry. Recent research shows that AI will enable companies to “…derive between $1.3trn and $2trn a year in economic value from using AI in supply chain…”.
Following this spirit Kaufland has prepared a hot case straight out of their Supply Chain Management systems.