We are encountering Machine Learning algorithms in our daily lives. Some are practical, like Google Translate; others are fun, like Snapchat Filters. Our interaction with artificial intelligence will most likely increase in the next few years. Given the potential impact of Machine Learning models on our future lives, Fran Peric presents to you the five branches of Machine Learning and their key concepts.
The foundations for image recognition and computer vision were already laid down in the 1970s. However, it is only in recent years that the field has found increasing application outside research. This article presents five selected and particularly promising use cases from different industries, which are either already in production or promise significant changes in their respective fields in the coming years.
NLP (Natural Language Processing) generally describes the computer-aided processing of human language. This includes both written and spoken language. In this article, we show different NLP case studies and explain how, within only a few years, the barriers to market entry have been lowered to such an extent that today every company can use NLP to solve their individual business problems.
A few weeks ago, several of our colleagues here at STATWORX participated in an exciting time series competition, hosted by a large german-based company.
This was the opportunity for us to organize an internal hackathon in our office in Frankfurt. In this blog article, Marlon will give you an insight into how we plan and execute such hackathons at STATWORX.