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Ryan Orban

Ryan Orban

Subject
6 entries

Talk

Bookmarks

  1. DSPy: Compiling Declarative Language Model Calls (SBTB23 talk)

    Omar Khattab's ScalaBytesConf 2023 talk introducing DSPy — the core presentation that launched the framework into wider attention. Covers the compile-don't-prompt philosophy and demonstrates self-improving LLM pipelines.

  2. Data Do's and Don'ts: Lessons from the Front Line

    Domino Data Lab's 'Data Do's and Dont's' slides from Data Popup Austin — practical lessons from working data scientists about what actually goes wrong in production ML and analytics projects. A practitioner's guide to avoiding common pitfalls.

  3. Surfing Silver: Dynamic Bayesian Forecasting for Fun and Profit

    Slides from a Data Popup talk on dynamic Bayesian forecasting — applying Bayesian state-space models to time series prediction with uncertainty quantification. One of the cleaner practitioner introductions to Bayesian time series methods from the mid-2010s data science speaker circuit.

  4. Bridging the Gap Between Data Science and Engineering

    Ryan Orban's slides from a Galvanize talk on bridging the gap between data science and engineering — covering organizational structures, communication patterns, and team design for high-performance data teams. Reflects the friction between DS and SWE roles that defined the mid-2010s.

  5. Tim Eller on Getting Your Hands Dirty With Data

    Tweet from SFDataScience meetup capturing Tim Eller's point about the importance of working directly with data — the 'hands dirty' ethos that no algorithm knowledge replaces intimate familiarity with a specific dataset.

  6. Hadoop Innovations at BayLISA

    BayLISA meetup event featuring talks on Hadoop innovations, including from Ryan Orban (the vault owner), Eric Sammer, and Alan Gates. A snapshot of the Bay Area Hadoop community circa 2013 and the kind of practitioner knowledge-sharing that drove the ecosystem forward.

All bookmarks