Dale Markowitz
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- Google I/O3 editions2019–2022
on a stage with
- Karl Weinmeisteronce
- Laurence Moroneyonce
- Seth Vargoonce
all 4 in the filters
who talks about the same things
- Josh Gordon10 talks
- Zack Akil8 talks
- Karl Weinmeister13 talks
- Sara Robinson17 talks
- Logan Kilpatrick8 talks
- Nikita Namjoshi6 talks
| title | conference | date |
|---|---|---|
| Machine Learning for developers in a hurry | Google I/O 2022 | 2022-05-11 |
Shows how to build working ML quickly using Google Cloud Translation, Speech-to-Text and Text-to-Speech APIs to transcribe, translate and dub YouTube videos as… | ||
| Spotting and solving everyday problems with machine learning | Google I/O 2021 | 2021-05-18 |
An explicit checklist of what gets built and what actually works: an AI-powered family video archive that uploads video to Cloud Storage, triggers the video… | ||
| Google's AI Map | Google I/O 2021 | 2021-05-18 |
An AMA that gives concrete tools and results: demos show Vertex neural architecture search producing a more accurate spam model than Model Maker, a… | ||
| Code, Build, Run, and Observe with Cloud | Google I/O 2019 | 2019-05-07 |
A demo backend of ~105 lines of Node.js sends SMS via Twilio and is deployed serverless with Cloud Functions/Cloud Run (Node, Python, Go; Java in private… | ||
| Train Custom Machine Learning Models with No Data Science Expertise | Google I/O 2019 | 2019-05-07 |
Cloud AutoML on Google Cloud lets developers upload labeled images, tables, or text and get a hosted model and REST endpoint without writing TensorFlow. Demos… | ||
| nothing matches | ||