Machine learning Jobs

14 were found based on your criteria

  • Hourly – Less than 1 week – Less than 10 hrs/week – Posted
    Looking for performing machine learning analysis / neural network using data center data for energy optimization. similar to following analysis... http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/42542.pdf
  • Hourly – More than 6 months – 30+ hrs/week – Posted
    If you like drinking wine and the very idea of changing the way the entire world buys wine in supermarkets and online boutiques has any interest to you, then read on: ### Mission Your mission will be to improve our existing recommendation engine built in-house. You’ll work in a small & dynamic team while covering most aspects of the technology, from pre-processing (Natural Language Processing, adjectives & characteristics qualifiers, SQL), core recommendation algorithms (Bayesian framework) to web services delivery (Java Play! framework ...
  • Hourly – Less than 1 week – 10-30 hrs/week – Posted
    I have a program that exports real-time data to a dynamic .txt file. I would like to automate the process of extracting this data to a database or Excel file and then pre-processing it in various ways. The data will ultimately be fed into a Java-based statistical machine learning program for analysis. I’m looking for experts in data extraction, ETL, Excel, MySQL/SQL and/or Java and machine learning. Contact me with a cover letter describing your skills and ...
  • Hourly – 1 to 3 months – Less than 10 hrs/week – Posted
    I'm looking for some help with some discrete tasks involving feature transformation. Specifically, I have a set of features, and I want to see what linear and nonlinear combinations of these features are predictive of my outcome of interest. Since I'm interested in learning this skills myself in the future, I'm looking for someone with good English communication skills, so they can explain the steps they are taking to complete the task. Sending messages over Skype is ...
  • Hourly – More than 6 months – 30+ hrs/week – Posted
    Hi! We're building a platform at https://quantimo.do to crowdsource clinical research through the aggregation and analysis of quantified self data from various life-tracking applications and devices. We're very passionate about reducing the suffering inflicted by chronic illness. We are trying to treat the human as a black box optimization problem and derive an approximate mathematical model for each quantifiable aspect of human health and happiness. We need someone to help us to implement and optimize our ...
  • Fixed-Price – Est. Budget: $2,000.00 Posted
    Looking for someone with knowledge in machine learning and audio processing to build software that would be capable of learning human voices from samples fed to it. After learning the samples, the application should be able to, in real time, convert any streaming vocal audio input to sound similar to the learned samples. Example flow: 1) application is fed one or several audio files (whatever minimum amount is required). 2) application processes the audio and creates some sort of permanently ...
  • Hourly – 1 to 3 months – Less than 10 hrs/week – Posted
    I need a machine learning professional with python experience with scikits-learn to design, pre-train and train and finetune a system of classification using naive bayesian filter process (Details will be discussed on skype). The work is in the context of data extraction in natural language processing. The project will span over the next 4 to 6 weeks and start very soon. The process involve back and forth so flexibility and a good ability to communicate is needed. Thank you very ...
  • Fixed-Price – Est. Budget: $65.00 Posted
    Implement a machine learning model so as to power grade the student answers. Given a training data set and testing data set do the feature extraction for the following features: 1.tf_idf vector similarity 2.difference in length 3. lsa similarity 4. lower case string match 5. between-item feature Now as the feature vectors for training data set are ready and the data set is labelled manually, both features and labels are used to train a k-means classifier. Once the ...
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