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Machine Learning Jobs

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Hourly - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
We are looking for an experienced developer with advanced understanding of natural language processing and semantic parsing techniques. Be prepared to demonstrate actual prior experience through previous projects completed using semantic parsing libraries or open source software such as sempre, gate, uima, IBM watson, etc

Fixed-Price - Est. Budget: $ 5,000 Posted
I am looking for a developer to work with me in New York to build out a trading strategy for Chinese equities. This developer would have to work in my office along side me on an ad hoc basis, and would be paid a flat fee for the work with the potential for a small equity stake in the venture. I run a hedge fund in new york, but i am looking to start a fund in China utilizing my proprietary strategy.

Fixed-Price - Est. Budget: $ 2,500 Posted
Hi need a software development in any language to determine if the google geolocation api( lat/lon from address ) is accurate or not, cause ive found in several cases is not accurate, need a propietary algorithm to determine if its ok or not and in case its not ok provide a fallback webservice which allows to give a more accurate result, e.g if the algoritm found that a given address lat/log is wrong and a human later corrects it, then the next time the backpu/restore service give the right result for that address or nearby address, in other words a selft learning algorithm, it can be implemented using machine learning , neural networks ,mathematical graphs or any other suggested method

Hourly - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
The scope of this project is to develop an image processing system for a pipe welding robot. The robot control system will rely on feedback from the image processing algorithms to determine the location of the welding electrode in relation to the weld seam edges to correct positional errors. It is anticipated that to achieve these objectives the following general steps will be required: 1) Establish a coordinate system 2) Calibrate the image 3) Window the image (for weld pool and weld seam edges) 4) Remove interlacing artefacts 5) Apply a median filter 6) Apply a sharpening filter 7) Identify edges using a modified Canny operator 8) Remove false edges 9) Scan for edges 10) Fit functions to the edges 11) Determine the positional error 12) Interface to the control system Refer attached illustrations for further information.

Hourly - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
I am working through a problem of modeling results Y based on multiple input variables x1..xN. The problem is that data is missing. I have the Y data points, and I have variable amounts of x data. I heard Bayesian Network is a solution to this problem but I don't know.

Hourly - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
In order to ensure you have read through this job listing, please include the word “yellow” as the first word in your reply. OVERVIEW: Hey there. I’m a programmer and computer vision researcher who is putting together a set of deep learning and convolutional neural network tutorials to help other coders more easily learn and apply deep learning. I am covering much of the “code example” tutorials, but I really need some help writing out the more technical content and explanations. I am looking to have 5-7 tutorials written covering the following topics: 1. An introduction to deep learning 2. A tutorial on Deep Belief Networks 3. A tutorial on Convolutional Neural Networks 4. A tutorial on what each layer of a CNN is used for, how to utilize each layer, and when each layer should be utilized. 5. A tutorial demonstrating how to train a model using Caffe. 6. A sort of “What’s next?” tutorial where you can point out resources or recommendations moving forward. ARTICLE LENGTH...

Hourly - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
Exciting application of machine learning for fast-growing fraud prevention startup. We need a machine learning pro to help advise us on the building and refinement of our model. We have a basic supervised model with a binary fraud flag as a target and have many millions of records for training. Amazon Web Services experience a big plus.

Hourly - Est. Time: More than 6 months, 30+ hrs/week - Posted
We are looking for a full stack web developer to join our existing developer (me, actually) and work together on developing & maintaining a set of successful education technology products. Developer which we would love to have in our team would be a TRUE full stack developer, one who is not afraid of jumping between contemplating limitations of different optimisation algorithms, composing bash scripts, implementing an integration with an obscure API & editing CSS so that web page would look good on small screens. All in one day. Or to be a little bit more precise, we would love someone with the following skills: - PHP -- we use CakePHP on most of our projects, however as long as you are well used to any other major PHP framework, transition should be easy; - MySQL -- a very good idea about optimisation & performance included; - Javascript/jQuery -- ability to write clean code and solve most front end issues; - CSS -- along with reasonable aesthetic sense, while we are not looking...

Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
We would like help in wiritng an R Contextual Analysis in Hebrew (utf-8) We are doing daily sms surveys, with open questions and recives daily a nice bunch of answers, whom we would like to make machine based analyised via Machine Lerning in R Att. a CSV file, with the colums: Survey_Number Rank_Satisfaction_CD (1-7) IF_Rank_Satisfaction_NOT_VALID_ANSWER (i.e charcter) Rank_Recommendation_CD (1-7) IF_Rank_Recommendation_NOT_VALID_ANSWER (i.e charcter) LAST_ANSWER_OPEN_Text_Notes (free open text answer)

Fixed-Price - Est. Budget: $ 1,000 Posted
We are looking for "Real" Data Scientist a) with experience working on complex customer experience problems (product recommendations, click through rate analysis, targeting, personalisation, customer segmentation, churn analysis, Customer loyalty etc.) b) on customer data (customer behaviour, demographics, geography, purchase, social media etc.) c) fulfilling marketing expectations (campaigning, branding, research etc.) d) applying machine learning models on Python/ Scala/ R e) visualising on data visualisation platforms. You should apply if and only if you meet ALL from (a) to (e) above. This is a long term position. Recommend friends.