Data Science in 7 Steps Workshop

In recent years machine learning left the academic world and spread to several areas achieving major breakthroughs. This area has its roots in mathematics, statistics and computer science which leads people to believe machine learning is a rather difficult topic, only accessible to experts. Furthermore, machine learning is a key part of artificial intelligence, elevating the misconception of its complexity.

The purpose of this workshop is to end this misconception and introduce the basics of machine learning and how can be used in your particular area. Currently there are several programs, libraries and tools to help non-experts users to take advantage of machine learning. The content and the topics of these workshop will be tailored to your interests.

During the day two small projects will be implemented. The topics will be based on your feedback. During the projects, we will cover all the steps and end up with a simple model for a specific problem.

 Limited to 20 people.

 Read more: https://www.eventbrite.com/e/data-science-in-7-steps-workshop-tickets-34627119647

 The speaker: Mário Antunes

Mário Antunes received his computer and telematics engineering M.Sc. degree in 2011, with first class honors, from the Electronics, Telecommunication and Informatics Department, University of Aveiro, Portugal. He is currently working as a researcher for the Advanced Telecommunications and Networks Group at IT-Aveiro. His main research areas focus on Knowledge Extraction and Context Storage in Internet of Things (IoT) Scenarios using Machine Learning techniques and Big Data repositories. His works include developing efficient ways to deal with unstructured information. These techniques are being implemented and evaluated in advance machine-to-machine projects, such as APOLLO and SCOT. During these past years he was involved in several machine learning projects, having written some research papers about the subject.