Machine Learning Jobs

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Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Looking for someone experienced in developing a machine learning network to do analysis of time series data (~5 streams) and output a classification time series. Must be familiar with techniques to define the right models, implement, and test. This is intended to be an initial product to test feasibility of the approach. No specific development platform is needed for this initial work.
Skills: Machine learning
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
We are looking for someone with both machine learning experience and algorithm experience. We aim to create an algorithm that will gather information from several sources with the goal of producing a report. whilst, simultaneously implementing machine learning tool that will scan the internet for interesting and related articles, and again producing a report on what is found. This will be a challenging project to say the least but if you think that you could create either of these tasks then I would like to hear from you.
Skills: Machine learning Algorithm Development
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
I'm looking for someone with experience in machine learning/neural networks to help with a project. This project will involve creating a system that is capable of analysing patient triage notes (generally about 4-5 sentences), and some key vital sign data, then predicting the probability of an outcome occurring. It should be an interesting project with real world impact and has the potential to be published in a medical journal. Further information will be provided to shortlisted applicants.
Skills: Machine learning Artificial Intelligence Artificial Neural Networks Deep Neural Networks
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
We have developed a system to capture certain images. We need a Machine Learning and Image Analysis expert to develop a system to be able to determine if a certain event is taking place in these images. We are able to supply thousands of photos analysed and pre sorted into negative or positive matches. If you have a track record of implementing complex machine learning and image analysis systems then please get in contact so more details can be provided. Thankyou
Skills: Machine learning Computer vision Data Science Image Processing
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for a python programmer familiar with the sci-kit learn package to work on a small regresion analysis. To begin with, this will be a short python program, but there may be future work available if the results are good. Experience with stock trading or other time based datasets will be required. Further information and dataset will be made available to the selected candidate.
Skills: Machine learning Data Science Python Python Numpy
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
I need help in the designing and improving the existing system which is heavily based on NLP. I am looking for some one who have PhD in this area and suggest me good approach and clear my doubts in the area of NLP and AI. I can take care of coding myself. Web scrapping, resume parsing/matching and chatbot experience is a plus.
Skills: Machine learning Artificial Intelligence Deep Learning Python
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Hello, I am looking for someone out there to help with a natural language processing / machine learning problem. I have a series of similar but inconsistent text files that have numbered hierarchical paragraphs of unstructured text with defined terms scattered throughout the blocks of unstructured text. The attached document has more information as well as a sample of the format. The exact structure therein cannot be counted on to appear exactly as shown, but there will be some sort of hierarchy following this format. There may or may not be indenting. You can’t do the parsing based on formatting because it will not be consistent across files. Somehow, however, you will have separate, hierarchical paragraphs with some sort of numbering and / or lettering scheme similar to the one shown below. Ideally, I'd like to parse this document into an xml file. I want to preserve the hierarchy of the document in the xml file. Within the xml file, I’d like to achieve two things in particular. First, all defined terms should be tagged with the xml tags for <definition></definition>. Second, if there are internal references to other parts of the file, I’d like those references to be tagged and refer to the corresponding part of the xml document. For example, see some examples in 2(a)(j) of the attachment. As you can see, you might see a reference set off by Section #. You also might see a reference to another section that is a child of the same parent section – e.g. Subsection b of this subsection. I’d prefer a solution in python or Java. You are free to use whatever open source software or libraries you choose. A sample format with more information is attached as a word doc
Skills: Machine learning Data Entry Data mining Java
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
I need a statistical online model designed to help choose questions for a survey given to patients to evaluate doctors, nurses and hospitals. The survey is organized as a list of top level questions. Each of these 'top level' questions is associated with a set of "drill down" questions to evaluate the reason for high/low scores at the top level. The goal of the overall system is to find out causal relationships between answers given for the drill down questions and the top level question/answers having high or low scores. Assume all questions are answered on a scale of 0 to 11. The constraints are: 1. Each patient has to provide a survey, and shall be asked no more than K questions. 2. Certain questions must be asked. Other questions (to drill down into root cause) must be sampled to create the survey. The online model should help us choose how to do sampling be done to: 1. Maximize confidence in causal relationships between drill down metrics and NPS metrics 2. Minimize the total number of questions asked 'K' in the range of 6-8. In addition, the model should describe the statistics that need to be computed periodically for the online model to work.
Skills: Machine learning Data Science Statistics