Talks¶
2019
- Automated Machine Learning with TransmogrifAI, Till Bergmann, Data Crunch Podcast
- Automated ML Pipelines For Unseen Customer Data, Kevin Moore, PAPIs.io, Slides
- Meet TransmogrifAI, Open Source AutoML That Powers Einstein Predictions, Matthew Tovbin, SF Big Analytics Meetup, Slides
2018
- AutoML: The Assembly Line of Machine Learning, Mayukh Bhaowal, DataEngConf
- The Black Swan of Perfectly Interpretable Models, Leah McGuire and Mayukh Bhaowal, QCon.ai
- Implementing AutoML Techniques at Salesforce Scale, Matthew Tovbin, Spark+AI Summit, Slides
- Building Tools for Enterprise Data Science, Vitaly Gordon, The O’Reilly Data Show Podcast
- Making Spark ML Models Portable - Know Your Options, Matthew Tovbin, Scale By They Bay, Slides
2017
- Embracing a Taxonomy of Types to Simplify Machine Learning, Leah McGuire, Spark Summit, Slides
- When all the world’s data scientists are just not enough, Shubha Nabar, The @Scale Conference
- Low Touch Machine Learning, Leah McGuire, Spark Summit
- Fantastic ML apps and how to build them, Matthew Tovbin, Scale By The Bay, Slides
2016
- Metadata Science: When the world’s data scientists are not enough, Shubha Nabar, Scala By The Bay
- Doubt Truth to be a Liar: Non Triviality of Type Safety for Machine Learning, Matthew Tovbin, Scala By The Bay / Scala Days, Slides