for newbies: 5 Mistakes Programmers Make when Starting in Machine Learning

(Last Updated On: February 10, 2014)

for newbies: 5 Mistakes Programmers Make when Starting in Machine Learning
Machine Learning
There is no right way to get into machine learning. We all learn slightly different ways and have different objectives of what we want to do with or for machine learning. A common goal is to get productive with machine learning quickly. If that is your goal than this post highlights five common mistakes programmers make on the path to quickly being productive machine learning practitioners.

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Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at youtube.com/quantlabs