Very late notice on this meetup, but on Thursday we have a very exciting presentation by Michael Schmidt – “The Robotic Data Scientist.”
The past decade has seen major advances in machine learning to model and predict outcomes from data. However, the greatest challenge facing these approaches remains interpreting the results and gaining strategic understanding of the predictions. We still need ways to hypothesize and understand how a system works – the real value resides in actionability. Here I will introduce advances in the field of evolutionary computation that can accelerate this process by detecting key mathematical drivers and relationships from raw data. These results can be applicable in almost any situation — from detecting laws of physics from motion-tracking data to modeling sales drivers in a retail chain.
Michael Schmidt’s research focuses on “Machine Science” – a direction in artificial intelligence research to accelerate data-driven discovery. Over the past 6 years, he has worked on algorithms and techniques to automate knowledge discovery from data. In particular, he has published extensively on identifying mathematical relationships (such as laws of physics) in experimental data, and algorithms in evolutionary computation. Michael is the creator of the Eureqa project – a popular software program for discovering hidden mathematical relations in experimental data. His research has appeared in several news outlets from the New York Times, to NPR’s RadioLab, and Communications of the ACM. Currently, Michael runs Nutonian Inc. which specializes in scientific data mining and cloud computing for data analysis. In 2011, Michael was featured in the Forbes list of the “Most Powerful Data Scientists” by Tim O’Reilly.
We will be going full hog on experimenting with these languages in coming weeks. We need to need invest the time to see how serious of a potential these languages bring for our needs in quant research and advanced automated trading. We are looking for advocates for these languages to consult on when needed. This process could lead to our foundation of an inner core team as we scale out our trading operation over the next few months. We will be seriously privately funded for our initial steps so this could lead to potential long term consulting gigs. This is a serious gig but we are only looking for very serious people who know these technologies on an expert level. If you want to do an open Q&A Meetup session for our members, let me know as this is a great test to see what kind of chops you can bring to the table. We are not looking for those just seeking to collect paychecks. We want advocates and evangelists on this stuff so nothing less. We are not seeking boring resumes and past accomplishments, we want to see what you can deliver over the next few months!! Get in touch by commenting below.
Do note we have easier ways to find these types of people with the glut of technologists out there looking for work. We want to see what you got in the public forum so reach out if interested.
– See more at: http://quantlabs.net/blog/2014/07/att-python-and-c-coders-what-you-think-of-these-programming-languages-for-automated-trading-and-quant-research/#sthash.35YCC8Xb.dpuf
CLICK and comment here or at the link below
ATT Python and C++ coders: What you think of these programming languages for automated trading and quant research – See more at: http://quantlabs.net/blog/2014/07/att-python-and-c-coders-what-you-think-of-these-programming-languages-for-automated-trading-and-quant-research/#sthash.35YCC8Xb.dpuf
C++ is faster at performance but .NET seems to enable you to develop faster which to me is more important
Is C++ STILL the perfect choice for modern app development. Or is DOTNET CSharp or FSharp faster for development? – See more at: http://quantlabs.net/blog/2014/07/is-c-still-the-perfect-choice-for-modern-app-development-or-is-dotnet-csharp-or-fsharp-better/#sthash.jce34rm8.dpuf
This is very true so let me know what you think here
Looking at Java source code is that it always seems to be the product of someone who fancies themselves as an architect – See more at: http://quantlabs.net/blog/2014/07/looking-at-java-source-code-is-that-it-always-seems-to-be-the-product-of-someone-who-fancies-themselves-as-an-architect/#sthash.wfe0UfRW.dpuf
Do High Frequency Trading aka HFT Really Does Save Investors And Traders Money
It seems that the retail trader will sqwack when they get pushed out of the market by technology but this was always the reason why HFT was supported. For me, I still question if this article is true or not. Comment away to let me know what you think
– See more at: http://quantlabs.net/blog/2014/07/do-high-frequency-trading-aka-hft-really-does-save-investors-and-traders-money/#sthash.ybR0GMcT.dpuf
World’s first lawsuit filed by investor files against CME due to adverse effect of high frequency trading aka HFT
This would be interesting but something tells me this guy will lose. New laws are coming to regulate this but as I always say, it is a cat and mousse against some very smart entrepreneurs who run HFT firms
– See more at: http://quantlabs.net/blog/2014/07/worlds-first-lawsuit-filed-by-investor-files-against-cme-due-to-adverse-effect-of-high-frequency-trading-aka-hft/#sthash.RH2VJedt.dpuf
Comment away at the link below to let me know what you think
Is it worth pursuing a quant career vs actuarial ? These reasons will surprise you – See more at: http://quantlabs.net/blog/2014/07/is-it-worth-pursuing-a-quant-career-vs-actuarial-these-reasons-will-surprise-you/#sthash.BdHqfb1F.dpuf
Exact equations and integrating factors
Differential equations: first order differential equations
Divergence theorem proof