Machine Learning for Everyone

For this special event we are pleased to have the team of BigML presenting who are visiting Melbourne from the USA.

Beer, Pizza & Networking will be from 6pm with the talk around 6:25. At the end there will be a Q&A panel session hosted by Professor Geoff Webb of Monash University.

Talk Outline

Machine Learning and predictive analytics are increasingly shaping our daily lives and the way that many businesses operate. From predicting cardiac arrest before it happens to detecting fraudsters to ‘simply’ presenting website visitors with targeted content and offers – the myriad uses are all around us and stand to make the world a more efficient and streamlined place.

Traditionally, machine learning tools have been prohibitively complex and expensive – affordable only to large corporations, and usable only by highly trained technicians and consultants. In addition, they’ve lacked the programmability and flexibility aspects required to incorporate these learning strategies into related applications and services.

In this session learn about anomaly detection, the basics behind decision trees and learn how past is predicting the future and is now easier and more accessible than ever thanks to converging trends of open source technologies, cloud-based computing and a growing ‘big data’ imperative – and is being uniquely enabled by innovative companies like BigML.

US based BigML team has been working hard for the past four years to democratize machine learning – making it more consumable, programmable, and scalable. The net result is an extremely powerful yet intuitive platform that can be leveraged equally by business analysts, developers and data scientists who are eager to perform a variety of predictive analytics and machine learning tasks.

Don't miss the opportunity to learn first-hand from BigML’s founders on their achievements and challenges – and start tapping into the power of machine learning today.

Francisco J Martin is a passionate scientist-entrepreneur who has created and led three Artificial Intelligence related companies. In 1999, Francisco founded iSOCO-Intelligent Software Components, SA. iSOCO specializes in business solutions built on top of Artificial Intelligence and pioneered research and applications of semantic web technologies. In 2003, he stepped down to seek new challenges. In 2004, Francisco founded Strands, Inc. Strands is a leading developer of recommendation and personalization technologies. Strands pioneered research and applications of social recommendation technologies in several domains (music, videos, personal finance, sports, etc). In 2010, he stepped down to seek new challenges. In 2011, Francisco co-founded BigML, Inc to unleash the power of machine learning as a service. BigML is creating the simplest, easiest-to-use and most seamless-to-integrate Machine Learning cloud-based service. Francisco holds a Ph.D. in Artificial Intelligence with highest honors from Technical University of Catalonia and a five-year degree in Computer Science from Technical University of Valencia. He worked on his Ph.D. at the Artificial Intelligence Research Institute of Spanish Council for Scientific Research. He has been a visiting researcher at the School of Mathematical Sciences at the University of Bath in the United Kingdom and at the School of Electrical Engineering and Computer Science at Oregon State University.

Jose A. Ortega co-founded BigML in 2011. He has been involved since the 90s in Free Software projects and programming languages (GNU MDK, Geiser, xmobar…). He holds a Ph.D. in Theoretical Physics (Barcelona) and BS Computer Science (Madrid), turned to computers in the 90s working for telecoms and aerospace (Indra), AI and web security startups (iSOCO, Scytl), our internet overlords (Google), next-generation user interfaces (Oblong), with an interlude in academia teaching programming and networks. He still loves Scheme, books and he is learning to play piano.

Poul Petersen of Corvallis, Oregon has an MS degree in Mathematics as well as BS degrees in Mathematics, Physics and Engineering Physics. With 20 plus years of experience building scalable and fault tolerant systems in data centers, Poul currently enjoys the benefits of programmatic infrastructure, hacking in python to run BigML with only a laptop and a cloud.

Geoff Webb is a Professor of Information Technology Research in the Faculty of Information Technology at Monash University, where he heads the Centre for Data Science. He is a leading Data Science researcher. His commercial data mining software, Magnum Opus, incorporates many techniques from his association discovery research. Many of his machine learning algorithms are included in the widely-used Weka machine learning workbench. He is editor-in-chief of the Data Mining and Knowledge Discovery journal, co-editor of the Springer Encyclopedia of Machine Learning, a member of the advisory board of Statistical Analysis and Data Mining, a member of the editorial board of Machine Learning and was a foundation member of the editorial board of ACM Transactions on Knowledge Discovery from Data. He is PC Co-Chair of the 2015 ACM SIGKDD International Conference on Knowledge Discovery from Data, was PC Co-Chair of the 2010 IEEE International Conference on Data Mining and General Co-Chair of the 2012 IEEE International Conference on Data Mining. He has received the 2013 IEEE ICDM Service Award and a 2014 Australian Research Council Discovery Outstanding Researcher Award.