#DataScience for #IoT meetup – (Nvidia Jetson demo) pleased to announce sponsor – Shack 15

For the first #DataScience for #IoT meetup – great to have an amazing sponsor and venue Shack 15 (@SHACK15LDN )

The meetup will be about Nvidia jetson Tk1 talk and demo

We will be demoing Nvidia jetson Tk1 and also discussing actual implementations ex Nvidia jetson tk1 with caffe on mnist 

The talk will be presented by Yongkang Gao  

SHACK15 is London’s up and coming data science hub. They strive to create an ecosystem of developers from the most innovative and creative data science startups, particularly those in their early stage, together with academics from the most prestigious institutions in the UK and across the globe. SHACK15 is run by Meltwater, the global leaders in social media and news analytics powered by their state-of-the-art developer platform, Fairhair.

If you are interested in Deep learning, please register here #DataScience for #IoT meetup

Using Space exploration to teach young people about Data Science – we go live today

PS – see our latest updates
 Please email me at ajit.jaokar at futuretext.com with subject Young Data Scientist if you want to know more as we launch the book/initiative
Many of you know that I co-founded a social startup in USA teaching young people Data science using space exploration, we have been working closely with Ardusat.
we go live today
10am Utah MST
12pm Miami EST
5pm London GMT
the globe will have a count down timer..
A lot of our work will start after we get live data from space.

AM2 from Ajit Jaokar on Vimeo.

The lipstick robot – a great way to explain Deep learning

I love motivational examples in teaching complex ideas

I use this simple little video ..to teach Deep learning to my students in Oxford, UPM and Data science for Internet of Things

Think of ideas like teaching a computer to recognize images of cats using Deep learning .. OR training a computer to play pacman using Deep learning

They all work in the same way

You let the deep learning system iterate with many examples and in each case, you tell the computer using a classifier if it’s interpretation was correct or not(aka is it a cat or not, Pacman scores etc)

Now watch the video below

I see the click at the end of the step as a classifier

As you see, the robot has a long way to go!

I even think its improving on each iteration!

That’s deep learning for you!

PS I am not sure that this was the original intent of the video by @SimoneGiertz but its cool

Video link is lipstick robot