Machine Learning Jobs

140 were found based on your criteria {{ paging.total|number:0 }} were found based on your criteria

show all
  • Hourly ({{ jobTypeController.getFacetCount("0")|number:0}})
  • Fixed Price ({{ jobTypeController.getFacetCount("1")|number:0}})
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
If you are a Lead Computer Vision / Machine Learning Engineer with 2+ year's of experience, looking to join a mobile app publishing firm building the next generation cloud-based machine learning and computer vision mobile apps, please read on. We are interviewing and looking to hire this person immediately. You will be implementing and improving on existing source codes. Implementation is easy and what we are really looking for is people who know how to improve and help develop software and algorithms for neural networks. Here are the codes: https://github.com/alexjc/neural-doodle https://github.com/manuelruder/artistic-videos Please reply to this job post with code word "Echo" so I know you bother reading through this job post.
Skills: Machine learning Artificial Intelligence Computer vision Deep Neural Networks
Fixed-Price - Intermediate ($$) - Est. Budget: $15 - Posted
Hi, I am a developer myself and would like to hire someone long term in Python development of Spark and related Machine Learning programming. Seeking someone who actually knows how to program with IBM Bluemix for Spark. Please apply to this first of many jobs to come if you are determined to be of a competent help. This first task is to demonstrate if I will hire you for more later paid tasks. So if you are good with Python and Python libraries use for Programming Spark, Please do Apply and send me your Skype contact as well to discuss.
Skills: Machine learning Apache Spark Data Science Python
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Hello I'm a Founder & CEO of BI company and need to learn very fast machine learning quick So, i need a machine learning trainer to teach me how to use it quick & simple I want to emphasize that rapid learning The person that apply to this job need to pro with this job and create some projects before with machine learning the person will need to show me some project he do or show me some example how he is working with machine learning before i accept him we will do a teamviewer session to see if he is good like he said
Skills: Machine learning Business intelligence Microsoft Excel
Fixed-Price - Expert ($$$) - Est. Budget: $15 - Posted
Hi, I am a developer myself and would like to hire someone long term in Python development of Spark and related Machine Learning programming. Seeking someone who actually knows how to program with IBM Bluemix for Spark. Please apply to this first of many jobs to come if you are determined to be of a competent help. This first task is to demonstrate if I will hire you for more later paid tasks. So if you are good with Python and Python libraries use for Programming Spark, Please do Apply and send me your Skype contact as well to discuss.
Skills: Machine learning Apache Spark Data Science Python
Fixed-Price - Expert ($$$) - Est. Budget: $1,500 - Posted
Looking to set-up a machine learning solution on AWS to predict outcomes in a dress-up game we operate. >>Background<< We have a mobile dress-up game where users need to dress up their avatar for a particular event (e.g. beach party, christmas, dinner, visit to the mall). Players choose dresses / shoes / makeup / etc from a set of options we present them. The player's composition is then submitted for voting. Voting is done by other players in the game. Voting can last for upto a day. The composition with the largest number of votes for that event, is the winner for that event. >>Problem Statement<< We want to analyze which compositions + event pair generate the top votes. Having 'learnt' these patterns, we then want an API that can be used to determine a composition's expected score, without having to wait for Voting to complete. >>Requirements<< Aside from configuring the relevant learning models, training the system, building an end-point to predict outcomes, will also include scripts / process to collect the labelled data (that is already collected in a Postgres database outside of AWS).
Skills: Machine learning Predictive Analytics
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
i have data captured from different source and data is in html format... data is captured from different shopping carts and it could be any electronic item like iphone, tv or anything... i need algorithm which parse that data and put products data in proper field like brand name, category name, sub category name, proudct name, product type, price etc... like one product page has Iphone 6s factory unlocked......................... $300 Apple Iphone 6s white color, 64 GB...........$325 Apple Iphone headset.........................................$25 now first two are iphones and third one is accessory... i want algo to distinguish this info and put data into right column of table... .. group first two products together as one iphone 6s and add two seperate prices for them and headset as seperate.. data could be of any category and any type.... what you need to provide me 1. web service containing algorithm to parse the data and classify it (preferably .net/python based code/service) 2. data will be picked from sql database and classified data needs to go in sql database (i 'll provide tables schema)
Skills: Machine learning .NET Framework Algorithm Development Algorithms
Fixed-Price - Intermediate ($$) - Est. Budget: $15 - Posted
Hi, I am a developer myself and would like to hire someone long term in Python development of Spark and related Machine Learning programming. Please apply to this first of many jobs to come if you are determined to be of a competent help. This first task is to demonstrate if I will hire you for more later paid tasks. So if you are good with Python and Python libraries use for Programming Spark, Please do Apply and send me your Skype contact as well to discuss.
Skills: Machine learning Apache Spark Data Science Python
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
Our task is about feature extraction from web services for aim of segmentation. The attached data set contains wsdl files that represent web services. The folder “services by domain” contains the services categorized by its domain. We need to check after making segmentation how much the segmentation process matches the pre-defined categorization using two measures; precision and recall. Our aim is to reach average precision and recall above 90%. The following is description of proposed clustering methods and text processing steps to achieve our goal, so they are not obligatory if you can achieve the goal using alternative methods but the processing time to get the result must be acceptable comparable to k-means. We propose to make segmentation process using unsupervised clustering k-means where Similarity between services calculated as similarity between four extracted features (service name, content words, complex types, and referenced ontologies) using Normalized google index Task Milestones: Milestone 1: $75.00 get csv sheet represent the example set for the attached wsdl files in this structure Milestone 2: $125.00 Calculating similarity between services for each extracted feature (service name, content words, complex types, and referenced ontologies) and clustering the services using the integrated similarities with the aimed precision and recall values. Text Pre-processing and content feature extraction The aim of this step, is to create example set from the attached wsdl files with four extracted features (service name, content words, complex types, and referenced ontologies) in addition to label attribute which is the name of the containing folder for the wsdl file. Service label will be used to evaluate the precision and recall of the clustering result. For compound words that don’t follow Camel case, you can use this solution: https://squarecog.wordpress.com/2008/10/19/splitting-words-joined-into-a-single-string/ Or the proposed algorithm in section “Implementation Guides” By calculating the average NGD between each of the two clusters and a predefined vector of general computing words such as f runtime, bind, web, service, module, data, post, developer g. The cluster closest to this oracle is determined to be the non-Web-service-specific cluster and its words are removed from the word vector Ti. Features Similarity Calculation Feature 3: Service Type (ComplexType) Feature 4: Referenced Ontologies The data set files have some semantic annotation by refereeing to external ontologies parts that define contained concepts as shown in this image. For each service, a list of referenced ontologies parts will be extracted. The similarity for this feature will calculated just as types in equation (6) Similarity integration for Clustering We measure the service similarity between web services s_i,s_j as follow: 〖Sim〗_service (s_i,s_j )=w1 〖Sim〗_content (s_i,s_j )+ w2 〖Sim〗_name (s_i,s_j )+ w3 〖Sim〗_types (s_i,s_j )+ w4 〖Sim〗_RefOnt (s_i,s_j )+ where w1, w2, w3, and w4 are the user-defined weights of Content, name, Type, and referenced ontologies respectively, with their sum being unity. Our proposed values as follow: W1=0.5, W2=0.1, w5=0.2, and w4=0.2
Skills: Machine learning Data mining