" Hi my name is Lee.
I'm a writer an engineer a trainer and a public speaker.
I create fixes & I fix headaches...
Welcome to my dev blog."

Blog

Schiphol Developers Group: Machine Learning for JavaScript developers

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I recently spoke at the Schiphol Developers Group about Machine Learning and Auto ML.

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Keynote Frontmania: Machine Learning for JavaScript developers

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At Frontmania in Utrecht I presented during the keynote, about machine learning for JavaScript developers:

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Google Cloud Next London Teaser

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At the Google Cloud Next event in London, I presented my customer care solution during the demo derby!

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DLP & Vision API demo @ Google Cloud Summit Munich

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At the Google Cloud Summit event in Munich, I presented the Vision API and DLP API for 3000+ IT professionals:

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Google Cloud Summit Paris, Keynote: Video Intelligence

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At the Google Cloud Summit event in Paris, I presented the Video Intelligence API for 3000+ IT professionals:

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Google Cloud Next Amsterdam Keynote - Video Intelligence API

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At the Google Cloud Next event in Amsterdam, I presented the Video Intelligence API for 3000+ IT professionals:

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Machine Learning APIs for Python Developers

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A couple of months ago, me and my co-worker @dnovakovskiy spoke on a Python event in the North of the Netherlands: Pygrunn 2017. I forgot that there were recordings made,and came by it today. What a nice surprise! So in case you are a Python dev, here you can see a video of our keynote: Machine Learning APIs for Python Developers.

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Introduction to the Video Intelligence API

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Search and discover your media content with powerful Cloud Video Intelligence API

Google Cloud Video Intelligence API makes videos searchable, and discoverable, by extracting metadata with an easy to use REST API. You can now search every moment of every video file in your catalog and find every occurrence as well as its significance. It quickly annotates videos stored in Google Cloud Storage, and helps you identify key nouns entities of your video, and when they occur within the video. Separate signal from noise, by retrieving relevant information at the video, shot or per frame. You can try this out, yourself:

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