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Machine Learning Jobs

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Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
YOU AND/OR YOUR COMPANY ARE… 1. experienced in advanced metrics: http://bit.ly/1PYLxei 2. experienced in machine learning and predictive sports betting analytics, ala: https://www.swishanalytics.com/ WE need an advisor/designer who can… A. look at the data we are currently scraping, and offer suggestions on how the data might be analyzed within our system to offer overviews and predictions similar in fashion to points 1 and 2 from above. B. assist in the creation of algorithms that our programmers will implement into our system. C. independently evaluate and test that the formulas and algorithms you have suggested and created for us, have successfully been implemented by our programmers into our system. D. be prepared to continue indefinitely with us in a cycle from A to C. WE DON’T NEED… -individuals and companies that can’t keep to a budget, or feel that deadlines are optional. We expect that the person(s) who are awarded this project will give clear and solid estimations on hours needed for completion of work, and will meet their deadlines without fail. -individuals and companies that don’t maintain regular and frequent contact with us. Failure to respond to a request for an update or other information within 24-48 hours, is grounds for termination from this project. -individuals and companies that want hours and weeks, “to run your data through our system, on our servers, to run tests to determine what might be the best possible outcome.” NO! You will only be serving in an advisory role as to what tests will be run on OUR system alone. We are absolutely open to any and all suggestions from you on how we might proceed, but we will not pay for testing periods outside of our system. IN SHORT… Look at our system and data; advise on how to implement advanced metrics and predictive analytics into the system; create the algorithms; check that the algorithms were correctly put in; make new suggestions on improvements and changes.
Skills: Machine learning Algorithm Development Analytics Data Analytics
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 30+ hrs/week - Posted
*Background:* Perhaps I already have it, but I simply do not know how to make sense of trained model results in R to make useful predictions out of R on new data. I just don't have statistics background, but I have programming background. So I think I just need someone who knows enough statistics and enough about R to show me how to make sense of training results in my R script. *Request:* I need the attached R script modified to accomplish the following: *(1)* Extract the result/formula, (formula values) of the classification models for each group/class, (-2,0,2) after my attached R script completes Stepwise LDA, QDA and Logistic Regression. I want formula values, not the formula code so I can make predictions out of R on new data. *(2)* Extract the formula for the decision bounds that separates the groups/classes, (-2,0,2) after my attached R script completes Stepwise LDA, QDA and Logistic Regression. I want formula decision bounds, not the decision bounds code so I can make predictions out of R on new data. Specifically, I want my R script, (see attached .zip in job posting) modified to give me the data necessary to do similar to what is seen in video in [Column D] and in [Cells F21:G25] and [Column E], but for after I run my R script for LDA, QDA and Logistic Regression. -- See video from *2:18 to 4:05* for [Column D] -- See video from *4:05 to 7:31* for [Cells F21:G25] -- See video from *7:32 to 8:28* for [Column E] https://www.youtube.com/watch?v=NaZ6Xuczs94 This screenshot might be a good example of the values I need extracted from LDA, QDA and Logistic Regression in R http://www.screencast.com/t/hmUHHvrRF7cV
Skills: Machine learning Data mining Data Science Python
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
This semester I have ML course and we Just start last week I need a person who knows well ML and explain to me this course and help me with homework and the project.
Skills: Machine learning Python
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
We are looking for a Data Scientist exceptionally strong on Python who can do the following: 1. Data Preparation a. Pre-Processing b. Cleansing c. Enrichment d. De-Duplication 2. Data Exploration a. Statistical Inferencing b. Univariate/Bivariate/Multivariate analysis c. Feature engineering d. Outlier analysis e. Dimensionality reduction 3. Data Analysis a. Machine Learning b. Analytics models We shall provide the datasets, problem, and solution steps (definitely you can improve our solution). You just need to implement on Python and provide output. Apply if and only if, you have exhaustively worked on Points (& sub-points) 1 to 3 above, else ignore.
  • Number of freelancers needed: 2
Skills: Machine learning Data Analytics Data mining Data Science
Fixed-Price - Expert ($$$) - Est. Budget: $3,500 - Posted
We are looking to have a computer vision expert create a very specific .NET/Mono compatible library for us to use in an application we are creating. This will include (either entirely from scratch or using the help of open source, commercial friendly libraries): - Implementing a very performant rotation/scale invariant template matching routine, and training routine for it. - Implementing geometry detection (size, location, rotation) of circles and rectangles. - Implementing camera calibration routines to calibrate cameras based on known grids or shapes, and applying that calibration to the other routines. - Various other routines as you determine necessary to meet the requirements outlined in the attached document. If these tasks are things you feel you can excel at then please see the attached document which outlines the deliverables for this project, as well as the acceptable languages and required platforms. Please DO NOT bid on this project if you have not read the attached document. Please have a portfolio or references to show your experience with customized computer vision routines and algorithms. You will have direct and prompt answers to any questions from the developer of both the application that will use this library and the machine that it is being used for. An extremely detailed document of use cases for each routine can also be provided once hired. Unlimited sample images can be provided to order from the machine this will be used with. We would like to find someone who can pursue this aggressively, with an ideal deadline of 30 days, but more would be considered for the right candidate. PLEASE NOTE: Bids above and below the budget given will still be seriously considered based on experience, ability to dedicate a large amount of time, communication skills, etc.
Skills: Machine learning .NET Framework Algorithm Development C#
Hourly - Entry Level ($) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
We have several applications for data science and machine learning in our project. Were looking for someone who is excellent with algorithm selection and preferrably willing to roll up their sleeves and write some python or golang to prove their solution. We have a test You must pass to join the team. Must be able to select and explain your selection of an algorithm for our test. Lots of exciting work in this project.
Skills: Machine learning Algorithms Data Analytics Data mining
Hourly - Entry Level ($) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
Develop ensemble models using healthcare data in order to return predictions about health. This will include csv files (for example, electrocardiogram data for detecting heart health), and images (for example, mammogram images for detecting cancer). The successful freelancer will be very familiar with: 1. Creating and running ensemble/layered models (example: https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/14335/1st-place-winner-solution-gilberto-titericz-stanislav-semenov) 2. The following libraries (and hopefully more): - XGBoost - Fast and optimized GBM implementation. - Vowpal Wabbit - Very fast with lots of parameters and linear algorithms. - LibFM - Factorization Machines. - scikit-learn - Lots of functions and algorithms. - Lasagne - Very good and fast NN implementation (but unfortunately I don't have a GPU). - Matlab Neural Network Toolbox - Classic. - R GBM, randomForest and glm - Classic.
Skills: Machine learning Data Science R
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