BIG DATA SCIENCE: Machine Learning Based Sensorical Data Processing
DATA SCIENCE, MACHINE LERNING and BIG DATA became popular buzzwords even in science. But what is the relationship between the Data Science, Machine Learning and Big Data? Recently, scientists have been witnessing rapid advancements in the scale of data that is routinely generated and collected. But how good is our ability to exploit modern technologies to process, analyze and understand this data. The intersection of these trends is what is, nowadays, called Big Data Science.
What is BIG DATA?
It is when you deal with huge amount of data.
What is MACHINE LEARNING?
It is a field which concerned with the implementation of methods which allow a computer to automatically learn from data. These data can often be big data, as there is a lot to discover in this type of data.
What is DATA SCIENCE?
It is field which deals with the analysis of data with the aim to extract knowledge. It includes many techniques like data visualization, probability, machine learning, statistics and more.
Join us for our next training session and learn how to exploit modern technologies to make the best out of your research data. Filip Procházka, senior researcher from Institute of Computer Science at Masaryk University and founder of Mycroft Mind, will speak about methods and experiences from machine learning based processing of sensorical data. Filip will be happy to answer all your questions about data science, machine learning and big data.
During this workshop we will cover:
- motivation and user cases - smart grids, industry 4.0
- methods and algorithms
- technologies (Elastic Search, Kafka, QlikSense)
- 2D vizualizations, hologprahical visualisations
Workshop Instructor:
Mgr. Filip Procházka, PhD
Filip Procházka has more than 15 years experience in the real-time processing of large data volumes, event detection and big-data analysis for industry and utilities. He leads the development team of the Smart Grid Simulator for the modelling and simulation of large smart metering and smart grid systems. Models contain millions of interconnected elements and are capable of precisely modelling and simulating various aspects of both today's and tomorrow's grids. He works as senior researcher at Institute of Computer Science at Masaryk University, Brno, Czech Republic and is also co-founder and CEO of the University spin off
company Mycroft Mind.
THIS TRAINING IS OPEN TO RESEARCHERS OF ALL STAGES INTERESTED IN BIG DATA SCIENCE!