01:11:53
End-to-End: Pipeline Orchestration (KFP) - BigQuery (BQML) Model For Endpoint Update [notebook 03C]
01:15:11
End-to-End: ML with TensorFlow in Jupyter with Tensorflow I/O BigQuery Reader [notebook 05]
10:28
Part 2 - End-To-End: Pipeline Orchestration (KFP) - AutoML in Vertex AI for ML Ops [notebook 02c]
09:26
Part 2 - End-To-End: Interactive Code (Python) - AutoML in Vertex AI for ML Ops [notebook 02b]
32:07
ML with SQL in BigQuery to Online Predictions in Vertex AI for ML Operations [notebook 03b]
54:07
End-To-End: ML with SQL in BigQuery (BQML) [notebook 03a]
57:49
End-To-End: Pipeline Orchestration (KFP) - AutoML in Vertex AI for ML Operations [notebook 02c]
53:33
End-To-End: Interactive Code (Python) - AutoML in Vertex AI for ML Operations [notebook 02b]
01:00:14
End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a]
14:48
Introduction - Vertex AI for ML Operations
24:22
Environment Setup - Vertex AI for ML Operations [notebook 00]
37:11
Data Source - Vertex AI for ML Operations [notebook 01]
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About
Hi, I'm Mike 👋
I am a lifetime learner with a background in statistics. The common denominator for 11 years as a statistician, 8 years in statistical software and now a growing career in Google cloud is that I love to learn almost as much as I love to share what I learned to help others.
I am passionate about computational engineering and work tirelessly to broaden my exposure. I utilize a wide range of skills and tools to enable deeper inferential and predictive evaluations in highly creative ways. I believe cloud computing is the radical change of our generation that gives us a chance to skip rethinking what we do and think new all over again.
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