Machine Learning Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I have a script I wrote in C# for another program that I want to be ported over into R. I script I wrote in C# probably isnt optomized and its written using classes from another program which are pretty easy to learn/understand but perhaps not clear to everyone. Basically it performs some functions on pieces of the time series data, returns results in a table and then loops over and does it again on the next sequence of time series data (ie does a function once a month, stores the monthly value of the function in a row and then goes onto the next month) I will provide the C# script and a high level documentation / easy language of the script for candidates that are short listed and then I will ask for your feedback in terms of ability to re-code in R. If the job goes well, I have 2 or 3 other scripts I need done as well along with some other more complex analysis. Preference will be given to those who have shown ability to work with time series data in the past (xts) and/or bioinformatics (sequence data analysis)
Skills: Machine learning R Statistics
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I require a machine learning model to be used in hardware keyboard testing. It needs to work in reverse of spelling correction. For example given a word, based on an existing dataset, the output should be a list of misspellings of this word in a sorted order of most likely to least likely (with a variable limit) So in summary: To use dataset consisting of word and misspelled version of the word per row. input = word output = array of misspelled words This will be used in testing datasets of various custom made hardware keyboards, and optimising those to minimise certain common misspellings. No language requirements, but needs to run on linux and be able to accept command line arguments. Also should be easy to deploy on ubuntu linux nodes, like Amazon AWS. Thank you.
Skills: Machine learning Algorithms
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Hi Thank you for visiting this project page. We do have a short one or two month casual research project where we are analyzing some data from Open Street Map project ( We have already developed some tools using Python and it is online now. We are not aiming to work with some Machine Learning tools like scikit to find some interesting patterns and also create some Rules for future works on map. We need to extract some patterns, calculate their benefits and find out of they are the best patterns or we can find better ones. We also should evaluate them and see their efficiency. We might use some data mining techniques as well. So we mostly look for those people who: - Are interested in research topics related to Machine Learning / Data Mining - Are familiar with advanced topics in machine learning / data mining - Are familiar with Spatial Data - Have interest to work on Geo Data from OpenStreetMap - Have experience with tools like scikit - Have expertise in Python to code with scikit and work with OpenStreetMap APIs to extract data from database and save on our local databases. We do have advanced debian based servers which we will provide access to them. Working hours are flexible. But you should show enough availability throughout the project. Please Add me in Skype and mention that you are adding me on Machin Learning Project. my Skype is: a_kashian We are not looking for Agents and Companies. Only individual researchers. There is a form that we need you to complete it online as well. This will help us to assess you very fast. The form is here: Thanks Alireza
Skills: Machine learning
Hourly - Intermediate ($$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
Hello, thank you for the interest in our project. We would like to begin experimenting with LSTM systems to create unique stories. If you heard about the SciFi script, Sunspring, that was brought to life by Thomas Middleditch, that is a perfect example. The end goal would be to be able to output stories that are 15-30 minutes long and totally readable. We expect them to be odd and possibly ridiculous but that is ok as long as someone can get through the whole thing. If you are interested in the projects and would like to chat please feel free to send a message. Please note we are flexible on the budget. We can talk about that when we chat. Thank you.
Skills: Machine learning Artificial Neural Networks
Hourly - Expert ($$$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Hi, I have a training set of Baseball cards (different years, different players). I need an app that can identify a jpg to determine the year and the player using the information gained from the training data. I'm open to different platforms and engines. Experience identifying photographs is required.
Skills: Machine learning
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
We want to implement a server which processes images in a way similar to the now famous Prisma app. We have already starting implementing it, and we will give you access to a Git repository where the open source code we have implemented is available, and the issues we are facing are listed. Please make a first temporary bid starting with "Art filter project". Please add a few words about your relevant experience, and the potential ideas you have for this project. Once you have access to the repository, you'll be able to make your final bid. This is urgent, we will make a decision in the next 2-3 days.
Skills: Machine learning Amazon Web Services
Fixed-Price - Entry Level ($) - Est. Budget: $350 - Posted
I am looking for a person that will guide me how to train from plain text so called: 1. semantic langauge model I am familiar with tools like SRILM, IRSTLM or KENLM but till now I trained only normal models. I need guidance how train semantic LM from normal textual data like Data pre-processing also should be included in the guide. The resulting model should be in ARPA format if possible
Skills: Machine learning Artificial Intelligence Artificial Neural Networks Linux System Administration
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
Summary - Create a web hosted software capable of automated commodity code allocation - UNSPSC ver.X Description - We require a software designer who is familiar with self learning algorithms (i.e. Tensor Flow) capable of the analysis and classification of product descriptions and names into specific UNSPSC commodity codes. Data set for learning will be provided.
Skills: Machine learning