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Presentation: [CANCELLED] [CANCELED] Go for ML/AI

Track: Hands-on Codelabs & Speakers Office Hours

Location: Mission

Duration: 12:50pm - 1:00pm

Day of week: Tuesday

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Applied AI workflows should maintain a high level of integrity in production and be able to fit into the modern infrastructure that is being utilized across industry and research. As it turns out, much of this modern infrastructure is being driven by the open source Go programming language, especially as related to distributed systems, and an increasing number of individuals and companies (Dell/EMC, The New York Times, and more) are writing their mission critical ML/AI systems in Go. In this talk, I will give you a brief intro to ML/AI in Go.

Speaker: Daniel Whitenack

Data Scientist, Lead Developer Advocate @pachydermIO

Daniel is a Ph.D. trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines which include predictive models, data visualizations, statistical analyses, and more. He has spoken at conferences around the world (Datapalooza, DevFest Siberia, GopherCon, and more), teaches data science/engineering with Ardan Labs (@ardanlabs), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects.

Find Daniel Whitenack at

2019 Tracks

  • 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

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks