Visitors can check out the Forum FAQ by clicking this link. You have to register before you can post: click the REGISTER link above to proceed. To start viewing messages, select the forum that you want to visit from the selection below. View our Forum Privacy Policy.
Want to receive the latest contracting news and advice straight to your inbox? Sign up to the ContractorUK newsletter here. Every sign up will also be entered into a draw to WIN £100 Amazon vouchers!
Suppose you have a normal pack of playing cards.
As usual the pack is shuffled before the games starts.
Split the pack in half.
Identify the first card in the first half of the pack, leaving 25 cards covered.
Split the other half of the pack, with 26 cards in it.
At the second card in the second half of the 26, turn it face up.
Count how many cards from this card to the first picture card.
Unless you play for a long long time you will always have an answer less than 5.
Now tell me why that is the case?
That is a nice statistical brain teaser that most people cannot fathom.
Seems to me that Machine learning is bringing together the things I enjoy most workwise: algorithmic programming and statistical modelling.
Especially with Bayesian techniques coming to the fore recently, which are more computationally intensive than frequentist methods.
Anyone working in this area commercially?
Not in it commercially yet but it is something which I am studying for future use.
Could I ask you to share more details as im interested in studying this too. have heard the courserra course on machine learning run by andrew ng is good. They also have a data science one from Washington university. The guy who runs analytic bridge is also bringing out a free data science course, which might be worth a look.
"You can't climb the ladder of success, with your hands in the pockets" Arnold Schwarzenegger
Seems to me that Machine learning is bringing together the things I enjoy most workwise: algorithmic programming and statistical modelling.
Especially with Bayesian techniques coming to the fore recently, which are more computationally intensive than frequentist methods.
Anyone working in this area commercially?
I would like to move into this area too. There are a few data scientist contracts knocking about paying reasonable loo la. only issue is the wide variety of skills they want. R, python,sas, hadoop and map reduce, and sometimes others such as apache mahoot tablea etc. and also the ability to code in sql. ie being a master of 2 softwares is enough in my current niche but to become a data scientist you really need to be on the forefront of many technologies.
"You can't climb the ladder of success, with your hands in the pockets" Arnold Schwarzenegger
Suppose you have a normal pack of playing cards.
As usual the pack is shuffled before the games starts.
Split the pack in half.
Identify the first card in the first half of the pack, leaving 25 cards covered.
Split the other half of the pack, with 26 cards in it.
At the second card in the second half of the 26, turn it face up.
Count how many cards from this card to the first picture card.
Unless you play for a long long time you will always have an answer less than 5.
Now tell me why that is the case?
That is a nice statistical brain teaser that most people cannot fathom.
You're right - too hard for me.
Plus you're not paying me for my time, so fook orf.
Comment