Machine Learning Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
Given NBA season dataset 2014-2015, tell me what patterns can be found and features we can extract, so that we can predict the final scores of the 2015-2016 dataset. Tasks: - Based on the 2014-2015 NBA season dataset provided, create data visualizations on the patterns found (High Priority). Visuals may be outputted in graphics or html. - Discuss how we can make use of the patterns / features to predict the next season. - Predict the final scores of the following season based on the initial model. This job is an ongoing project, and would bring in more work very soon. The priority is to build an initial model, and create visuals based on the initial dataset. I need someone who can do the visuals in one day max - or at least provide the visuals output.
Skills: Machine learning d3.js Data Analytics Data Visualization
Hourly - Expert ($$$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
We have a set up Python scripts that can build predictive models for sets of data. Currently the python script to produce predictions that are less than desirable, specifically for our regression module. We need somebody who understands Python programming, and can use machine learning libraries such as scikit-learn, numpy, and pandas, etc.
Skills: Machine learning Pandas Python Python Numpy
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Hi, I am looking for people with the following skill sets, if you are an expert in any of the following areas, please apply with your CV. 1. Robotics, simulation or experience with real robots, familiar with ROS, Gazebo suite of simulation software. 2. Computer vision: multiview geometry, structure from motion, human detection, object recognition, robust feature/object tracking, stereo vision, depth sensors computation (mono, stereo or TLF, IR), deep learning. 3. Visual SLAM, familiar with the latest SLAM algorithms, in-depth algorithmic level understanding, not just compiled some open source project
Skills: Machine learning Artificial Neural Networks OpenCV Robotics
Fixed-Price - Expert ($$$) - Est. Budget: $100 - Posted
This project is to write out a proposal and document how you would build a system to continuously learn and enrich data related to job listings. To be clear, we are looking for a detailed proposal and plan along with an estimated cost or proposed project cost. We will review the proposal of several people that we invite to this posting and then based on the proposal build out the actual project to execute on their plan. As you read through the rest of this, please feel free to message me on Upwork or on Skype. My skype address is amurphy59. Specifically, we want to understand the recommended infrastructure and software (i.e. AWS EMR with Hadoop & R) necessary to execute a project that will deliver on the following project concept. We also would like to know what the development process is that you will follow Our business is an online job search and recruiting service existing in many countries around the world. Today, we have 110,000 active jobs, and over 500,000 total jobs (including those that have expired) to analyze from the past 90 days. On most days, there are about 10,000 to 20,000 new jobs added into our system. We are in the process of adding more and more jobs everyday. We expect the system when fully built out to have about 10,000,000 active jobs. These jobs are often listed with a combination of attributes about the job in the advertised title. Attributes include the skills, compensation, the name of the company, and then the actual profession title itself. Each company that lists a job opening will often use their own category taxonomy. In an ideal world, companies would adhere to a specific taxonomy, use normalized job titles, and list out skills from a specific skills catalog, but that doesn't happen. The desired outcome of this system is to be able to create structure from these jobs listings, to enrich the data and identify the attributes about each listing at the point in time when the job comes into our system. To be able to take the learnings about past job listings and apply them to new ones. Here are some examples of the desired output for each job record: - A common profession title - Information about the skills necessary for the job - Information about the company - Information about the benefits of the company - Information about the requirements of the job itself Each of the attributes above will be used to create a better description about the job listings when presented to job seekers. Follow on projects will be set up to determine a similar set of attributes about the worker execute similar logic with respect to resumes, and ultimately to make recommendations for both companies posting jobs and users posting resumes of where there is a great match. In your response to this posting, please include the following: 1. Your proposed price. (Note, I have put a budget of $100 for this, but if you require more time and or a higher price, please include why in your response) 2. A min of two example projects using NLP / Machine Learning that you have participated in. 3. Your preferred software languages. 4. What you expect to produce in this write up in terms of work product. Again, please let me know if you have any questions about this project either through Upwork messages or on Skype: amurphy59
Skills: Machine learning Hadoop Natural language processing R
Fixed-Price - Expert ($$$) - Est. Budget: $1,200 - Posted
We are looking for a web/app developer to develop a user friendly and content-based Mobile Application that allow users to view and map events taking place within a selected country in selected dates. It is assumed that the App will leverage from Google maps. In this initial development phase, the events to be mapped are food festivals. In future stages, and once the App will be live and sound it will also map other events such as antiques markets, handicraft/ flea markets, local markets, UNESCO villages. The app will be available in multiple languages. (English, Spanish, Italian). We would also suggestions to where and how collect data from. The app would need to be built in both IOs and Android and or progressive web app. ( we need advise on this last piece).
Skills: Machine learning Android HTML5 iOS Development
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
ooking for experienced quantitative Analysis with experience in the capital markets. Must be experience with Machine Learning. I have two projects. The first project is about forecasting future assets volatility via Machine learning algorithms. The second is to forecast the probability of change in prices for short term periods of different assets. I work as the risk manager of a binary option company. I think that this projects are a good opportunity for an expert to gain experience in this filed and learn a lot of new things.
Skills: Machine learning Artificial Neural Networks Data Science MATLAB