Conference: Jun 26-28, 2017
Workshops: Jun 29-30, 2017
Presentation: Online Data Mining and Machine Learning
Location:
- Salon C
Duration
Day of week:
- Wednesday
Abstract
Machine learning and data mining, as a whole, try to distill patterns from large amounts of past data in the hopes of predicting future event. This model is problematic when predictions cause actions which influence the future or when the future cannot be assumed to be like the past. This is true, for example, in most security or abuse prevention applications. In the online model, one operates in an adaptive mode without assumptions of data stochasticity. The goal is to act in a way that is provably close to optimal for any sequence of inputs. Interestingly, this is often possible without standard ML machinery. This talk will present some basic concepts and an introduction to this fascinating subfield of computer science.
Tracks
Monday, 13 June
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Architectures You've Always Wondered About
Case studies from: Google, Linkedin, Alibaba, Twitter, and more...
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Stream Processing @ Scale
Technologies and techniques to handle ever increasing data streams
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Culture As Differentiator
Stories of companies and team for whom engineering culture is a differentiator - in delivering faster, in attracting better talent, and in making their businesses more successful.
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Practical DevOps for Cloud Architectures
Real-world lessons and practices that enable the devops nirvana of operating what you build
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Incredible Power of an Open-Sourced .NET
.NET is more than you may think. From Rx to C# 7 designed in the open, learn more about the power of open source .NET
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Sponsored Solutions Track 1
Tuesday, 14 June
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Better than Resilient: Antifragile
Failure is a constant in production systems, learn how to wield it to your advantage to build more robust systems.
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Innovations in Java and the Java Ecosystem
Cutting Edge Java Innovations for the Real World
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Modern CS in the Real World
Real-world Industry adoption of modern CS ideas
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Containers: From Dev to Prod
Beyond the buzz and into the how and why of running containers in production
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Security War Stories
Expert-level security track led by well known and respected leaders in the field
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Sponsored Solutions Track 2
Wednesday, 15 June
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Microservices and Monoliths
Practical lessons on services. Asks the question when and when to NOT go with Microservices?
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Modern API Architecture - Tools, Methods, Tactics
API-based application development, and the tooling and techniques to support effectively working with APIs in the small or at scale. Using internal and external APIs
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Commoditized Machine Learning
Barriers to entry for applied ML are lower than ever before, jumpstart your journey
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Full Stack JavaScript
Browser, server, devices - JavaScript is everywhere
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Optimizing Yourself
Keeping life in balance is always a challenge. Learning lifehacks
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Sponsored Solutions Track 3