From Miracle Finland Oy
Heli Helskyaho is the CEO for Miracle Finland Oy and an ambassador for EOUC (EMEA Oracle Users Group Community). Heli has a master’s degree in computer science from the University of Helsinki, and she specializes in databases. At the moment, she is working on her doctoral studies in schema discovery, big data, and semi-structured data. Heli is an Oracle ACE Director and a frequent speaker at many conferences. She is the author of Oracle SQL Developer Data Modeler for Database Design Mastery, co-author of Real World SQL and PL/SQL: Advice from the Experts. In 2015 and 2016, Heli was listed as one of the top 100 influencers in the IT sector in Finland.
What is Machine Learning and why should I care? In this session we will talk about the basic concepts of Machine Learning: Features, Instances, Binary classification, Scoring and Ranking, and beyond. There are different models used in Machine Learning: logical, geometrical, grouping, probabilistic models, and model ensembles. We will talk about those models and learn a little bit more about Concept learning, Tree models, Rule models, Linear models, Distance-based models, and probabilistic models. After we have learn the basics of the models used in Machine Learning we will talk about Experiments in Machine Learning: what to measure, how to measure, and how to interpret the results. And in the end of the session we will take a look to the future: What's next?