Machine Learning Jobs

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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 (openstreetmap.org) 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: https://goo.gl/forms/0e1gJcbdq4aCb6V83 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 ($$$) - Est. Budget: $1,000 - Posted
We want to implement a server which processes images in a way similar to the now famous Prisma app. We have already starting implementing it, and we will give you access to a Git repository where the open source code we have implemented is available, and the issues we are facing are listed. Please make a first temporary bid starting with "Art filter project". Please add a few words about your relevant experience, and the potential ideas you have for this project. Once you have access to the repository, you'll be able to make your final bid. This is urgent, we will make a decision in the next 2-3 days.
Skills: Machine learning Amazon Web Services
Fixed-Price - Entry Level ($) - Est. Budget: $350 - Posted
I am looking for a person that will guide me how to train from plain text so called: 1. semantic langauge model http://cmusphinx.sourceforge.net/wiki/semanticlanguagemodel I am familiar with tools like SRILM, IRSTLM or KENLM but till now I trained only normal models. I need guidance how train semantic LM from normal textual data like http://opus.lingfil.uu.se/OpenSubtitles2016.php Data pre-processing also should be included in the guide. The resulting model should be in ARPA format if possible
Skills: Machine learning Artificial Intelligence Artificial Neural Networks Linux System Administration
Hourly - Intermediate ($$) - 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
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
We are a medium-size software development organization located in Florida, USA with offices across different countries and near 100 software developers. We are currently looking for a high-quality, professional with experience in building chat bots. We are currently evaluating 3+ chat bot projects and need assistance in selecting the platform, discuss architecture, setting up best practices and integration. Our preferred development language platforms are NodeJS and C# but we are open to suggestion. We are looking into laveraging an existing, robust framework in order to gain speed.
Skills: Machine learning Artificial Intelligence C# Live Chat Software
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
We are looking for a experienced developer in Computer Vision/Machine Learning. We intend to develop a tool that uses Computer Vision/Machine Learning to identify if a photo contains a Swiss Identification Card (Swiss ID). The tool has to work on color photos taken from various mobile phone devices (iOS an Android). The tool returns a confidence/score if the photo contains a Swiss ID or not. The target application is to sort out photos with Swiss ID’s versus photos without Swiss ID’s. Technology consideration - The developed tool must run on Windows OS. - Prefered language is C#, however the developer can suggest other languages he/she might be more familiar with - Use open source/easy available tools such as OpenCV, Matlab etc. - Focus will be on approaches that use Computer Vision and Machine learning. Deliverables The project will be in two phases. Phase 1: Prototype and Proof of Concept The developer will provide a compiled version of a simple prototype that demonstrates the capabilities. The prototype must run on windows, but might be a simle WinForm, Command line tool or other simple way to execute the program. The prototype must accept as input a training set. The training set is one or more real Swiss ID’s which represents a good sample of Swiss ID’s. The prototype must be able to process a number of documents in a specific windows folder and output the result as a text file. The output will be the file name and the confidence/score with comma separation. Success criteria: The prototype/proof of concept is deemed a success, if the test documents are correctly identified as Swiss ID/non-Swiss ID photos. Phase 2: Final Component If Phase 1 is a success, Phase 2 can be awarded. Phase 2 is the implementation of the prototype technology into a more stable component. Specifically, the component needs to have an API which can be called with the necessary parameters. The Component must be able to store the settings/learned samples. If you are interested, we are happy to discuss in more details on the scope/challenges and targets of the projects. We are also looking forward to have an effort estimation for both phase 1 and 2 before the project is awarded. The attached document contains some additional information, especially regarding sample documents.
Skills: Machine learning Computer vision OpenCV