Solutions

Posted shawarmataurusLeave a commentPosted in Datathons Solutions, Prediction systemsDatathons Solutions, Prediction systems

Datathon – Sofia Air 2.0 – Solution – (Virtual) forests to reduce PM10 pollution in Sofia

Sofia is a city with significant concentrations of particulate matter less than 10 micrometers in diameter (PM10.) A high concentration of PM10 is disruptive to life and the climate. The purpose of this project is to predict the concentration of PM10 at a particular day given the climatic conditions. This is important in allowing the making of policies to reduce the pollution in the city. Our contribution consists of a random forest regressor that acheives the purpose with 70 to 80% accuracy.

Posted vasuraj, mjk96, harjeetsingh, manpreetkaur Mentors: preslav, laura, vsenderov, drsubhabahapal, senthilLeave a commentPosted in Datathons SolutionsDatathons Solutions

Datathon – HackNews – Solution – The Blind Scientists

Introduction to NLP
Natural Language Processing (NLP) is the field of computer science that is concerned with developing algorithms for analysis of human languages. Artificial Intelligence approaches( eg. Machine Learning) have been used for solving many tasks of NLP such as parsing, POS tagging, Named Entity Recognition, word sense disambiguation, document classification, machine translation, textual entailment, question answering, summarization, etc. Natural languages are notoriously difficult to understand and model by machines mostly because of ambiguity (eg. humor, sarcasm, puns), lack of clear structure, diversity (eg. models for English are not directly applicable to Chinese). Even so, in recent years we’re witnessing rapid progress in the field of NLP, due to deep learning models, which are becoming more and more complex and able to capture subtleties of human languages.