This TEDTalk shows the power of big data and open data combined.
How we found the worst place to park in New York City — using big data
As a BI Expert, I do work with a lot of data, and sometimes, visualizing the data can help us understand some aspect of the data. But with big data, you have much more data. And with open data you can have even more data from the government authorities.
And this is were the dream begins.
Imagine a city were you could have all the data that is possible to have (without the sensitive information of each persons). You could understand something that usually doesn't make sense like:
- grocery shortage VS weather
- restaurant busyness VS traffic jam
- weather VS sickness
And much more.
A part of Artificial Intelligence called Deep Learning is using a lot of data to find trend that the humans have not yet found. We could learn a lot about ourself using some of those techniques together.
Happy learning.
Where I post some stuff I learned about life, technology, entrepreneurship, and lifestyle. OS independent, Tech dependant, life useful... Learning one new thing a day is the best way to grow.
Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts
2015/03/15
2015/03/01
DeepMind VS Human
DeepMind Technologies has developed an IA the can play games using "eye-hands" coordination. He cannot beat the humains at SpaceInvader yet... But can beat a lot of people on other games.
This article is informative and very inspiring to me, since I like IA.
This article is informative and very inspiring to me, since I like IA.
While reading this article, I thought about the 1985 movie called D.A.R.Y.L.
(IMDB) In the movie, the android is playing a car game extremely fast.
In January 2014, Google bought that company. It's an other investment in artificial intelligence for Google.
I'm sure the algorithms are able to do more then play games.
It does inspires me to learn more about AI. And how to code them.
DeepMind is hiring, they're based in London.
Happy learning!
Labels:
Artificial Intelligence,
Game
Location:
Quebec J3H, Canada
2015/02/27
High frequency trading
The High Frequency Trading is an exemple of Artificial Intelligence used for financial trading.
The Artificial Intelligence is everywhere...
A computer algorithm surf the internet to have news about different compagnies, and trade on every news it can find if it determines that the price will raise and sell if the price gets lower.
I did thought that an algorithm based on the concept of the Artificial Intelligence would exists, but I didn't think it was existing and operational since 1999. But now I know...
But since nothing is perfect, a lot of organization say that the High Frequency Trading is the caused of the Flash Crash on May 6th, 2010.
Happy learning.
The Artificial Intelligence is everywhere...
A computer algorithm surf the internet to have news about different compagnies, and trade on every news it can find if it determines that the price will raise and sell if the price gets lower.
I did thought that an algorithm based on the concept of the Artificial Intelligence would exists, but I didn't think it was existing and operational since 1999. But now I know...
But since nothing is perfect, a lot of organization say that the High Frequency Trading is the caused of the Flash Crash on May 6th, 2010.
Happy learning.
Labels:
Artificial Intelligence,
economy
Location:
Quebec J3H, Canada
2015/02/20
Deep Learning: computers that can learn
This TedTalk did inspire me a lot. I always loved Artificial Intelligence, it's one of the things that brought me to go into computer programming.
Now Jeremy Howard talks about Deep Learning, which is a part of artificial intelligence or a type of artificial intelligence.
After listening to his TedTalk, I did start to look more about Deep Learning, and I found 2 courses about the subject. One at MIT (available on YouTube) and one at Stanford (available on iTunes U).
Both are great schools, and they do not approach the subject the same way.
This course at Stanford (Machine Learning) is more mathematical, more algorithms. And the one at the MIT (MIT 6.034 Artificial Intelligence) is more about logic and flow.
I'm listening to both of them, but I need to do the homework to be able to follow, because it starts to get hard core at the third course.
Happy learning to you all!!
Labels:
Artificial Intelligence,
MIT,
programming,
Stanford,
TedTalk
Location:
Quebec J3H, Canada
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