I would like to thank you for this series. I hope you continue making these videos. Your GitHub repository is becoming like a knowledge base for me. It is way more clear than most of the documentation. Nice work.
Absolutely! This video showed how to setup the TFio BQ reader but since it's Python you can read from anywhere you have connection to. And loading from GCS is made super easy with the automatic mounting: cloud.google.com/vertex-ai/docs/training/cloud-storage-file-system
I am working hard on the repository and almost have notebooks ready for another season of video! There should be a full series on BigQuery ML and TensorFlow workflows coming this Fall!
![End-to-End: Pipeline Orchestration (KFP) - BigQuery (BQML) Model For Endpoint Update [notebook 03C]](http://i.ytimg.com/vi/kzDd94KucBQ/mqdefault.jpg)
![End-to-End: Pipeline Orchestration (KFP) - BigQuery (BQML) Model For Endpoint Update [notebook 03C]](/img/tr.png)
![End-To-End: ML with SQL in BigQuery (BQML) [notebook 03a]](http://i.ytimg.com/vi/IcVyP_ZAXmY/mqdefault.jpg)
![Data Source - Vertex AI for ML Operations [notebook 01]](http://i.ytimg.com/vi/Z5whg20WvS8/mqdefault.jpg)
![End-To-End: Interactive Code (Python) - AutoML in Vertex AI for ML Operations [notebook 02b]](/img/1.gif)
Thanks Mike. Hope new videos are coming soon!
You have in-depth knowledge of tensorflow in GCP I like the way you explain things
I would like to thank you for this series. I hope you continue making these videos. Your GitHub repository is becoming like a knowledge base for me. It is way more clear than most of the documentation.
Nice work.
Thank You! I look forward to making more videos very soon.
Hi Mike, wonderful videos and your knowledge is amazing in this field. Looking forward you to resume your videos :)
We are keen on your future videos. I am very thankful to you and team, if any for making this series. It helped me immensely.
More to come!
Really enjoyed this series. Looking forward to more videos
More to come!
These videos are perfect. Really clean code and well explained. Thanks!
Thank you so much for the compliment on the code! I definitely strive for a balance between usefulness, readability, and shortness.
@@statmike-channel You nailed it.
Hi, instead of using bigQuery, can we use Cloud storage to store csv datasets then use it in the notebook? Looking forward to the csv video. ❤
Absolutely! This video showed how to setup the TFio BQ reader but since it's Python you can read from anywhere you have connection to. And loading from GCS is made super easy with the automatic mounting: cloud.google.com/vertex-ai/docs/training/cloud-storage-file-system
This is really good!
It was wonderful. When will the next videos be released? We are looking forward to it.
I am working hard on the repository and almost have notebooks ready for another season of video! There should be a full series on BigQuery ML and TensorFlow workflows coming this Fall!
@@statmike-channel we r waiting like anything ...
@@statmike-channel these videos are SO good. Watched them all and can't wait for the new ones! Huge THANK YOU for your work