Machine learning Jobs

7 were found based on your criteria

  • Fixed-Price – Est. Budget: $150.00 Posted
    This job is to develop an optimisation cost function based on the inputs and outputs in the attached sample spreadsheet. A file with more data and more complete information will be provided to the successful freelancer. The outcome needed is a cost function based on the independent and dependent variables in the spreadsheet that maximises risk adjusted profit subject to a minimum number of trades. The cost function will specify weightings and constraints and needs to be in a documented ...
  • Hourly – Less than 1 week – Less than 10 hrs/week – Posted
    Hi, I am looking to build a basic version of the recommendation system you would find in Hulu or Netflix. I am looking for a framework, not the full system built out. I am looking for a statistician with machine learning skills who can work well with large datasets in R. Here is an example of the work I am looking for: http://tech.hulu.com/blog/2011/09/19/recommendation-system/ Based on the data I have, I think the ...
  • Hourly – Less than 1 month – Less than 10 hrs/week – Posted
    Please read the posting fully before responding: I have some questions and issues I'm stuck on in my statistical analysis. I am trying to run ANOVA and possibly a simple machine learning algorithm. I need to use Matlab ideally. Otherwise, I would consider running in R. It has to be my own work, but I need to be able to ask for help and assistance with the data, making sure I'm setting up the statistical tests correctly, as ...
  • Hourly – Less than 1 month – 10-30 hrs/week – Posted
    This job is about developing practical filtering approaches by applying DSP and machine learning to denoise time series data, with non-Gaussian noise. You can use any tools you are familiar with (Matlab, R, Mathematica), but our algorithms are ultimately written in Python, so part of the job is being able to describe the approach to a developer in the team. You will need to have demonstrated extensive experience in DSP and filtering and be able to adapt your approaches to ...
  • Hourly – Less than 1 month – 10-30 hrs/week – Posted
    This work is to help with some research into an approach for smoothing time series data, using Loess smoothing and neural networks. This involves developing an approach that meets certain criteria that we will specify, experimenting and testing different techniques, documenting the algorithm developed and working with a systems analyst who will build it. We need someone with excellent mathematical skills and familiarity with an analysis tool such as Mathematica, Octave, NumPy and neural networks. The successful applicant will be ...
  • Hourly – Less than 1 month – 10-30 hrs/week – Posted
    The project is to develop a smoothing algorithm for real time data, extending and formalising some work that I have done. I need an applied mathematician with knowledge and experience in the following areas (with machine learning the most important): Data smoothing approaches, particularly Loess smoothing and Kalman filters Signal processing of times series data Machine learning algorithms, including k-nearest neighbour, Bayesian models, hidden Markov models Splines (MARS) Familiarity with tool sets, e.g. Python libraries, Octave, R or Mathematica ...
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