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Interview about career/book
(Oct 2018, coffee with a Googler) |
Machine Learning Design Patterns for ML Ops (Aug 2020, virtual Google Developer Group DevFest)
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MLOps: How to automate CI/CDE in Machine using Kubeflow Pipelines (Feb 2020, Seattle)
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How to Automatically Optimize Retail Sales with BigQuery ML (Apr 2019, Cloud On Air)
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Leverage AI on the Cloud to Transform Your Business (July 2018, Cloud Next)
Machine Learning and Bayesian Statistics in Minutes: How Data Scientists use BigQuery
End-to-End Machine Learning With TensorFlow on Google Cloud Platform (Mar 2018, Cloud On Air)
Training Image & Text Classification Models Faster with TPUs (Mar 2019, San Francisco)
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Using public datasets on Google Cloud Platform (Sep 2018, Cloud On Air)
The Digital Native Podcast on what my team at Google (Solution Engineering) does, where I see the industry going. June 2020
Infuse Your Business with Machine Learning (Cloud Next, March 2017)
What's New in TensorFlow, and How GCP Developers Benefit (Apr 2019, Cloud Next)
Data Science on the Cloud in Python (July 2016, PyData Singapore)
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The Zen guide to getting your data ready for Machine Learning (Dec 2017, Tel Aviv)
End-to-end machine learning with TensorFlow on Google Cloud Platform (Feb 2018, Chicago)
Feature engineering in BigQuery and TensorFlow 2.0/Keras (Nov 2019, Kirkland)
Crossing the Chasm: Patterns to Develop, Operationalize, and Maintain ML Models (Cloud Next 2018)
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BigQuery GIS product intro (July 2018)
How all your data leads to Cloud Machine Learning (July 2018, San Francisco)
Auto-awesome: advanced data science on Google Cloud Platform (Mar 2017, Cloud Next)
Training Image & Text Classification Models Faster with TPUs on Cloud ML Engine (Nov 2018, Cloud AI Huddle)
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