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Nitya Narasimhan
I like building software, knowledge & communities / PhD / Mobile, Web, Firebase, Machine Learning /
I like building software, knowledge & communities / PhD / Mobile, Web, Firebase, Machine Learning /


Back on Google+ after a long time. Primarily to share/read #io17 recaps and do some long-form posting.

Testing to see if I have this auto-linked correctly to repost..

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Yaay!! Excited about kicking off a lot of Machine Learning related initiatives this year!! We have a fantastic meetup scheduled for Sept

and if you live in the NYC area and are interested in joining a Study Group focused on auditing/crediting the Udacity Nanodegree on Machine Learning just apply here We're kicking it off in just 2 weeks, and have a surprise incentive for all participants. Besides, learning in a group setting is always fun and keeps you accountable to complete it.

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Sharing on behalf of +GDG New York City -- if you live in the Greater New York area, this one may be of interest

You are invited to Progressive Web App Roadshows in North America!

Please join us to learn about the future of the web with Progressive Web Apps, why they are important and how to build and deploy them effectively.

Check out the event calendar and register via the link below. The first event will be taking place in NYC on August 15. I encourage you to attend if you are interested in web development!

This is a FREE event. Please register quickly if you are interested as each city has limited seats available. Feel free to share this with other web developers that may be interested.

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If you live in the Hudson Valley area, hope you can make it to our +Google Cloud Platform focused  #GCPNext  Extended event this Saturday.


Come see the [Google Vision Bot]( and learn about Machine Learning and Computer Vision in the Cloud 

*Come see the [Google CloudSpin Demo]( and learn about how they made this 180-degree video animation happen using Google Cloud


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Been really looking forward to this talk after seeing +Bret McGowen do the Scavenger Photo Hunt demo at the recent GCP Next conference!!

Google Vision API is really interesting - check out that demo here:
After a brief hiatus, we are back!!! Please pardon our dust as we relaunch the GDG New York meetup at its new address:
(You will need to rejoin the meetup here if you want to continue getting notifications about new events)

ON THAT NOTE -- we are excited to kick off April with an awesome meetup on April 11 at Google Chelsea Market.

Our featured speakers are +Bret McGowen (Google Cloud Developer Advocate) who will be talking about the Google Cloud Vision API and +Antonio Zugaldia (Android Engineer, MapBox) who will be talking about Offline Maps and Navigation Apps In Android

We will also have some information to share about our upcoming Android Study Jams and GCPNext review event as well so come join us!!

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Interesting -- wait what?

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What's the optimal number of RWD image breakpoints? Trick question. The answer depends on the image itself.

A must read article and an amazing open-source tool from the team at Cloudinary. Read it, internalize it, and automate it! This illustrates, once again, that this form of optimization should be automated and live on the server... ahem, Client Hints!

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Polyicon ~ online tool to create custom, optimized material design SVG iconset for an app

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Beautifully simple and utilitarian -- need to make me one and check it out this winter :-)
Creative Snow Removal.
Join the Simple Science and Interesting Things Community and share interesting stuff!

A snowflake consists of roughly 1019 water molecules, which are added to its core at different rates and in different patterns, depending on the changing temperature and humidity within the atmosphere that the snowflake falls through on its way to the ground. As a result, it is extremely difficult to encounter two identical snowflakes. Initial attempts to find identical snowflakes by photographing thousands their images under a microscope from 1885 onward by Wilson Alwyn Bentley found the wide variety of snowflakes we know about today. It is more likely that two snowflakes could become virtually identical if their environments were similar enough. Matching snow crystals were discovered in Wisconsin in 1988. The crystals were not flakes in the usual sense but rather hollow hexagonal prisms
Animated Photo

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