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Machine Learning Jobs

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Hourly - Expert ($$$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
There are a couple parts to this project. 1. Article Spinner that can Spin an article to be very unique, yet appear to be written by a human. Similar to WordAI Turing Article Spinner. This must also pass Copyscape. 2. I need a Summary of the article in 2-3 sentences. 3. I need 3 Unique titles generated about the article. I will need this system to have an API so my current system can post into the system you are building and get a JSON response.
Skills: Machine learning Artificial Intelligence Artificial Neural Networks
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
We need to develop an algorithm to correlate absorption spectra of the solutions with the concentration of a chemical in the solution. I envision an algorithm that trains on a learning set of spectra and concentration values associated with these spectra and then assigns concentration value to an experimental data. As an outcome of the project I'd like to see a software tool, complete with a crude user interface for testing of this solution in the lab. Once the tests conclude that the algorithm outperforms current data processing method, a group of software developers will incorporate it into the final product that's being developed by our company. In the attached document you can find an example of the training set. First column is the concentration values, first raw is the wavelength, each raw is the spectrum.
Skills: Machine learning Chemistry Pattern recognition Physics
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
We have developed and maintain our own taxonomical framework for content classification and now want to develop an API to automate the classification of content. The concept is simple: when provided a URL or a block of content, the API will fetch and analyse the available content, and then return a series of matched nodes from our taxonomical framework along with a confidence score. The API itself should be in Node.js, but the machine learning required to handle the classification can be in the most appropriate technology for the job. We will need your recommendations for this. We are aware of the need to train such a system with a pre-classified content set. We will undertake this work directly under your guidance. You will work into one of our repositories in Github. Please provide me with an estimate of time as part of your response to this brief.
Skills: Machine learning Node.js
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
Our clients want deep consulting. They are large multinational corporations in - Banking - Manufacturing - Fashion They want to understand the dangers and opportunities that Artificial Intelligence and Machine Learning poses to them. They also want to start an inhouse development team. FAST CONTACT: http://c8think.co/member/freelancer.php
  • Number of freelancers needed: 7
Skills: Machine learning Artificial Intelligence Artificial Neural Networks
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
We are looking for experts who can verify Wiki style content written by college students on machine learning. Applicant's will be given a 30 minute evaluation to demonstrate their skills before being hired.
Skills: Machine learning Content Writing
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Data Scientist with expertise on Customer Segmentation techniques (RFM, K-Means etc.) You should be able to: 1. Provide & Process related raw data sources (atleast three - Transactional, CRM, Social etc.) 2. Cleansing & Preparation & Combining of above data sources 3. Exploratory analysis on curated datasets 4. Machine learning model (Java or Python or PHP) 5. Testing & Tuning model Apply if you meet all the five requirements above. You would need to demonstrate past work done.
  • Number of freelancers needed: 2
Skills: Machine learning Big Data Data Analytics Data mining
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I have a presentation coming up, and I need someone to help explain certain machine learning and SNA techniques and theories. Here are some examples of things I don't quite understand: In SNA - Why use log-log scale when presenting data sometimes? - What is the power law? - cumulative advantage process? - preferential attachments by barabasi? In Machine Learning: - When building a unified framework of data, how can we organize it using Martix Factorization? - What other machine learning techniques can be used in a very large and unorganized, unstructured dataset? - When building a recommender system, they are usually built using: content-based recommendations, collaborative recommendations, and a hybrid approach. I need to understand what is meant here. I just need to understand enough to be able to answer questions during the presentation of the attached proposal document. The above are the main questions, there might be a couple more along the way that I might have. I'm looking for someone who is willing to arrange for a skype chat with me sometime tomorrow or Sat or Sunday morning to sit and discuss any questions I might have. I will pay be the hour, Depending on how it goes, it might be one session or more. If interested kindly let me know and I will email you the document.
Skills: Machine learning Data mining Data Modeling Data Science
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