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On 22.01.2018 Amazon opened Amazon Go – their first ever physical store without cashiers and checkout lines – customers just grab the products from the shelves and go. AI algorithms detect what product you have grabbed.
Kaufland offers the unique opportunity to work with their internal data on a similar problem – developing a computer vision algorithm that detects which is the fruit or vegetable scanned.
The key to every great model is clean data (“garbage in – garbage out”), and ZenCodeo challenges you to dive deeper into data preparation by creating unique IDs from all sorts of company names.
Have you ever wondered if retailers actually make more money from price discounts? Or what is the impact of promotions in Amazon on the sales in Walmart? The SAP case is about price optimization and promotional effectiveness.
Do you know what KFC, Pizza Hut and Taco Bell share in common? The same parent company – ‘Yum! Brands’. Find out about this and other secret relationships in the business world by building an NLP algorithm that deduces the parent company from text.
Telenor gives you a rare chance to do social network analysis on the best kind of data set for this – telecom data.
Find out ALL sources of meat that have been used to produce a certain sausage and ALL organisms (or traces of them) that should not be found in the sausage (pathogens, bugs, even human).
If you are participating in the Academia Datathon 2018, or just wanna be a crypto superhero forecasting cryptocurrency prices, this article was made just for you! It is a quick reference to tons of materials to get you started on the topic.
Originally authored by Neven Pičuljan, Freelance Software Engineer at Toptal, this article also features an illustrative case study on how hedge funds can use such systems, presented through experiments. We will also consider how deep learning systems can be improved and how hedge funds can go about hiring talent to build those systems, i.e., what sort of background does deep learning talent need to have.
Data Science Society have decided to launch one new initiative and postpone the topic selection campaign. Regular casual industry events are introduced, which should be organized on a weekly base. The idea is to have an opportunity for most of society members to see each other in informal way and share knowledge among them. Our […]
This November we spoke about NLP and Text Mining techniques used in working with open Government data in a practical way. The topic was to “Reveal hidden patterns in public data” with two great experienced speakers – Anton Gerunov and Yasen Kiprov. Anton Gerunov has served as e-governance lead for the Bulgarian government (2014-2017) and headed […]
Probabilistic Programming for Machine Learning Recently, the plethora of deep learning methods have achieved unequivocal success on various tasks, however all of them glance over a key point in order to be reliably deployed on autonomous agents – the environment of an agent is uncertain. This uncertainty is caused by stochastic processes, sensory noise and […]
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