Machine Learning Jobs

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Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I am looking for a business minded data scientist to do the training on machine learning based on business scenarios and example rather than typical mathematical language and terms. We can discuss the scope and content which should be around 12 hours of training but requires good preparation beforehand.
Skills: Machine learning Data Science
Hourly - Expert ($$$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
I am looking for a data scientist who can help me analyze and build a model to do the predictive maintenance of equipment, using sensors data. There are 180 types of environment variables with 300 types of faults in the data table where most of the values are 0 or 1, data is collected every 5 second.
Skills: Machine learning Data Science
Hourly - Intermediate ($$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
The goal of the job is to create a model to predict what is the offer a customers is most likely to respond to. The business context is a loyalty program where marketing campaigns are directed to stimulate users to exchange points for goods. There are roughly 500 product categories and they range from flying tickets to pre-paid credit for phone. Based on data sources listed below your model will have to generate a list of top N offer categories per customer. Those should be the offers the customer is most likely to respond in descending order. Data sources are: a) Customer Information File (demographic data plus points balance) b) Transactional data (all historical exchanges of points for goods) c) Product catalog -- This is an evaluation job for a long-time position. Model will be ported to Spark application. Therefore, skills in Apache Spark and large scale machine learning are a bonus.
Skills: Machine learning Apache Spark Data Modeling Hadoop
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
Seeking interest in developers with the following skill set with commercial experience for a responsive web application: C# .NET HTML5 Json Angular Service Stack Razor Gulp Redux JSPM Javascript Bootstrap 3 Typesript Redis Cache/React Azure hosting Hangfire schedule tasks Signal R MAchine Learning ORMLite and POCO entities Ajax T-SQL Single Page Application If the right person is found, it could lead to on-going work or even more.
Skills: Machine learning AJAX AngularJS Bootstrap
Fixed-Price - Entry Level ($) - Est. Budget: $100 - Posted
We need to fine tune a VGG image classification model using Keras with 23.000 images, and then classify 80.000 images . This will obviously require a recent GPU with at least 6GB or memory. If you have such a machine and are willing to work with us, this is a first test project. Although this project requires only installation of a Keras script we will provide, future projects will include optimization/coding tasks. For this first project, your suggestions/comments about how to improve the script will more than welcome. Please avoid generic bids. In order to show that you have read and understood this text, please start you bid with “Keras projet”. This is urgent, we will make a decision in the next 2-3 days.
Skills: Machine learning
Fixed-Price - Expert ($$$) - Est. Budget: $5,000 - Posted
It is Nomsy’s mission to be able to tell our users, with relative confidence what and where they can eat so that they can explore food like everyone else - easily and with great creativity and passion. The Lifestyle Accommodation API will be the heart of reaching this mission, by making the Nomsy platform a smart platform. The ultimate purpose of the API is to be able to correlate certain food brands and resources to the safe/unsafe usage of consumers with certain dietary restrictions. For example, knowing automatically which ingredients (by brand) are safe for consumers with allergies (or some other health based or preference based dietary lifestyle). The API will need to use the data of multiple APIs, such as data from Yelp, Foursquare, Feedly, and Instagram APIs, to determine if certain products, restaurants, grocery stores, and cafe’s are fitting for certain dietary lifestyles. It would be most effective if this API is built off of our company’s existing API that manages the many other functions of the website and mobile application. Our in production platform can be found here: There are more details to this project that can be accessed if you inquire via Skype @D1Futbol22. You must sign an NDA here to be considered as a candidate: DO NOT REACH OUT VIA SKYPE IF YOU HAVE NOT APPLIED TO THE POSTING FIRST! The project contract is based on milestones only - and has a FIXED budget. This is not up for negotiation as our company needs to stay in budget. Payments are made after work is tested and approved by the client. We do not work with freelancers that have less than 90% approval and less than 100 hours worked.
Skills: Machine learning API Development API Documentation Hadoop
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
Our team needs the one time assistance of a programmer with some level of machine learning experience to implement the machine learning algorithms in a script to classify digits from a given dataset. The implemented algorithms will be kNN, logistic regression, penalized logistic regression and naive bayes. Skeleton code shall be provided. Only the required functions need to be filled in.
Skills: Machine learning MATLAB
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
My client has extracted some finance data and would like to run some Machine Learning studies in order to optimize the confusion matrix. as usual, the display here looks very ugly so i left the job description in a google drive doc. if you like this project please start your proposal with “i am a ML and python and linux and postgres expert”.
Skills: Machine learning PostgreSQL Programming Python Ubuntu
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for an experienced developer with a grasp of text mining and machine learning. We have around >800 000 texts (each 10-400 letters) which needed to be classified to 100 classes. Language is German. Program extracts data from MS Sql or Mongo (both possible), analyses the data, classifies it and ranks the result with propability if the class is appropriate or not. The program should be able to learn. Results that are unsure need to be flagged or similar in the database. A user will review the result (from our application) and set if the result it correct or not. The program learns from this reviews and improves its algorithm.
Skills: Machine learning C# Natural language processing Python