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Master Thesis: Strategies for Handling Imperfect Machine Learning Data Sets at Ericsson

Linköping, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Sets, Computer Science, Computer Engineering, Statistics, Innovation, Problem Solving, Algorithms

Industry

Telecommunications

Description

Investigate and compare different techniques for handling selected imperfections. Apply machine learning prediction algorithms to a selection of techniques to evaluate their performance. This project is aimed at students in computer science, computer engineering or statistics and machine learning. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: Sweden (SE) || Linköping Req ID: 773911

Responsibilities

Investigate and compare different techniques for handling selected imperfections in machine learning data sets. Apply machine learning prediction algorithms to evaluate the performance of these techniques.