Speaker:
Jeremy Edberg
CEO and Founder @MinOpsInc

Jeremy is an angel investor and advisor for various incubators and startups, and the founder of MinOps. He was the founding Reliability Engineer for Netflix and before that he ran ops for reddit as it's first engineering hire. Jeremy also tech-edited the highly acclaimed AWS for Dummies. He is a noted speaker in serverless computing, distributed computing, availability, rapid scaling, and cloud computing, and holds a Cognitive Science degree from UC Berkeley.

Find Jeremy Edberg at

Talk : Building a Security System with Image Recognition & an Amazon DeepLens

Tracks

  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.