Machine Learning for Software Developers in 45 minutes at Oracle Code One conference in San Francisco, by Deep Netts CEO Zoran Sevarac and another Java champion Frank Greco, (from Crossroads Technologies) was great success. It was full room of almost 300 Java developers looking for the fast way to get into the magic world of machine learning, but using what they allready know – Java, and skiping all the confusing parts for the beginners related to math formulas and statistics.
Judging by the comments and discussion after the session we have succeded in making fast introduction, and explaining essentials with hands on approach that typical Java developer need to get started and make next steps. The session included brief explanationof basic supervised machine learning techniques including:
- Linear Regression
- Logistic Regression
- Feed Forward Neural Networks
- Convolutional Neural Networks
This presentation will be the base for the series of blog posts on this topic.
Slides are available here