A data science model will read my mind as I wake up and get my clothes ready according to my mood.
Talking about the fashion show, this data science use case has been created by Intelistyle – an AI styling service company.
Typically, computer vision techniques that focus on Pattern recognition are used to find visually similar clothes but their approach was a little different.
Their main focus was on building a system that can recognize ‘style’.
It is a lot more nuanced than finding visually similar clothes.
So, they used deep learning to ‘extract the essence of style’.
Of course, this step was executed after they successfully crawled the web for fashion photography examining thousands of outfits put together by influencers and stylists, designers and retailers.
Intelistyle even tested it against real stylists and fashion influencers at London Fashion Week.
As Forbes reported, 70% of respondents unwittingly chose the looks created by their model.
Image Credits – Intelistyle Here’s another fun data science application in fashion I spotted on Twitter.
The AI, created by artist Robbie Barrat, has generated an entire collection based on Balenciaga’s previous styles.
The fashion week came early on Twitter, courtesy of a clever neural network.
• Neat asymmetrical multi-component coat (one arm hidden… probably unintentionally though) • Three-component coat with matching piece of cloth to carry around (posted this one before) • Patterned sweater (shirt ?) with what looks like a two-tone turtleneck underneath (?) pic.
twitter.
com/jHsgIt4OZo — Robbie Barrat (@DrBeef_) You can also check out this paper, Generating High-Resolution Fashion Model Images Wearing Custom Outfits, for more information on creating AI-generated Fashion Trends.
4.
Who’s killing the Academy Awards Game?.Let’s have Data Science predicted Nominations Please!.Who is your pick for the best actor and best actress at this year Oscar’s?.Quite often we can guess the eventual winner by combining our intuition with the power of the media rumor mill.
But there’s a major issue there – our picks can be heavily biased based on our own preferences and watching history.
Where there is a guessing game – there is data science!.
You might think it’s weird but yes, AI had an impressive 94 percent score in predicting last year’s Oscars, for the third year in a row, you will be thrilled to know that AI outperformed industry experts.
The Hollywood Reporter and Microsoft teamed up to predict who would take home an Oscar at the 2019 Academy Awards through an online prediction poll called Awards Predictor (powered by Microsoft AI).
Unanimous A.
I.
, a company that uses “Swarm A.
I.
” technology to create artificial intelligence products, comprises of a hive-mind of dozens of movie enthusiasts.
This TED Talk by Unanimous A.
I.
founder Louis Rosenberg, Ph.
D.
, goes into further detail about this fascinating application of technology and the human brain.
These are the Swarm AI predictions for the 2019 Oscars: Swarm AI combines real-time human input with artificial intelligence algorithms, optimizing a group’s combined wisdom and intuition into a unified output.
In other words, Unanimous builds artificial “hive minds” that amplify the intelligence of human populations to create an artificial super-expert that can outperform traditional experts.
How can you build this exciting predictive machine learning model?.Well, it’s simple – combine OptiML, the optimization process on BigML that automatically finds the best-supervised model (and runs some top-performing models including deepnets, ensembles, logistic regression, and decision trees) with Fusions, that combines multiple supervised models for improved performance and make a batch prediction – and boom – your model will be ready!. 5.
Let’s Have a Good Laugh with AI-Powered ‘LOL BOT’ Now we have a robot who can make us laugh – literally!.By far I found this to be the most unusual application of data science because I would never expect a bot to make me laugh, that too on the topic of my choice.
Meet – LOL BOT.
The rib-tickling bot made its debut at the Melbourne International Comedy Festival and has been savoring fandom ever since then.
It’s the world’s first bot that is capable of generating its own jokes, detecting real-time human reactions, and reacting accordingly.
Creative technologist Steven Nicholson said his team had developed LOL-Bot to use stochastic modelling to pull data and learn from thousands of hours of live comedy shows.
Stochastic modeling enables LOL BOT to pull data from the enormous library of jokes from all the comedians around the world.
It uses deep learning algorithms to tease out the meaning from those shows and generate its own jokes.
Here is a glimpse: https://s3-ap-south-1.
amazonaws.
com/av-blog-media/wp-content/uploads/2019/12/Lol-Bot-1.
mp4 But, here is the catch – this BOT is not in existence now.
Because at the comedy festival it was powered not by AI but by 7 top comedians of Australia!.But nevertheless – building something like this is quite possible in today’s scenario.
Why don’t you give it a try on this dataset and share your results?. End Notes The idea of using data science to have some fun is really fascinating.
My aim in this article was to open up a new portal for all of you who think of data science as a technical and all-too-serious field.
Let’s have a little fun on the way!.Some of these weird use cases might come across as light-hearted fun but remember – big advancements in any field are made by people who have played around with what they were given and churned something no one could think of.
How lucky we are, without any heavy investments, that we get to freely experiment.
And I firmly believe that by using this power, our champion data science community will take the world by storm.
What other weird and hilarious uses of data science can you think of?.No idea is a bad idea!.Let me know in the comments section below.
Are you new to the world of data science?. More details