I’m speaking at two sessions at Oracle Code One 2018 in San Francisco. One about basics of machine learning, and the other about using deep learning for application perfromance tuning. Oracle Code One (ex. Java One) is the biggest and most influential conference for Java technologies in the world.
You can also find me at Oracle Developer Champions briefing on Friday 10.19. at Oracle and Java Champions Briefing on Saturday 10.20. in Parc 55, and Java Influencers Gathering at at Google Developers Launchpad Space on Thursday. More details are bellow:
Java and Machine Learning at Java Champions Briefing 2018
Overview of the current Java machine learning landscape, what needs to be done in order to make Java no 1 platform for machine learning development, and ongoing efforts in that domain.
2.00 p.m. - 2.30 p.m. | Parc 55 Hotel San Francisco, Market Room
Deep Learning for Application Performance Optimization
Application performance tuning usually involves periodically monitoring and adjusting several parameters that control the runtime environment, including the CPU, memory, threading, garbage collection, and more. This session presents the experience of the speaker and his team in building deep learning models for autonomous, continuous application performance tuning. The presentation includes a methodology, architecture, and best practices for building such systems.
The participants will learn how to build deep learning models for modeling application performance for various configuration settings. A case study is based on tuning a Java enterprise application but can be generalized for other types of applications or individual components.
Monday, Oct 22, 7:30 p.m. - 8:15 p.m. | Moscone West - Room 2005
If you’re comming to Oracle Code One schedule this session at: https://oracle.rainfocus.com/widget/oracle/oow18/catalogcodeone18?search=BOF4967
Machine Learning for Software Developers in 45 Minutes
Technologists know that machine learning (ML) is a humongous, long-term trend for all applications. Many companies are now applying an “AI first” philosophy in all their applications and services. This session is designed for Java developers who are new to ML and need an overview of ML and where/how to apply it.
You’ll learn about its relationship to AI and why ML is evolving at such a rapid pace. The session also describes the types of learning styles—supervised learning, unsupervised learning, and reinforcement learning—and also discusses “deep learning.”
It covers use cases and the various ML services offerings from Oracle Cloud, AWS, Azure, and GCP. Most importantly, the focus is on how Java developers can take advantage of ML in their applications.
Monday, Oct 22, 1:30 p.m. - 2:15 p.m. | Moscone West - Room 2016
If you’re comming to Oracle Code One schedule this session at: https://oracle.rainfocus.com/widget/oracle/oow18/catalogcodeone18?search=DEV5090