Examples of using Machine learning techniques in English and their translations into Swedish
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Classification and regression are two types of supervised machine learning techniques.
We use machine learning techniques on certain data in order to optimize our marketing campaigns.
The first model is a clothing classification framework developed through four machine learning techniques.
The course gives an introduction to machine learning techniques and theory, with a focus on its use in practical applications.
involves developing a decision support application that utilizes machine learning techniques.
The Office Graph uses sophisticated machine learning techniques to connect people to the relevant content,
Overview This training course is for people that would like to apply basic Machine Learning techniques in practical applications.
In the security research field machine learning techniques and anomaly detection(finding patterns in data that do not conform to an established“normal” behavior) are used to analyze irregularities in large sets of data.
Candidates are expected to have very good knowledge formal logics and Machine Learning techniques(preferably reinforcement learning). .
We use machine learning techniques on certain data in order to provide users with useful statistics
My research is about making 5G more reliable by using Machine Learning techniques to find faults quicker
Sentiment analysis in Microsoft Social Engagement calculates the sentiment value of social posts using natural-language processing and machine learning techniques.
This thesis embraces this observation and introduces a new method combining machine learning techniques in order to create profitable trading strategies.
The ASIMOV project aims to exploit machine learning techniques for spectrum anomaly detection
participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry.
Awais Ashfaq uses data mining and machine learning techniques to find interesting patterns
participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry.
The research project uses participatory mothers' mobile behaviour patterns to identify complex relationships that make it easier to detect mothers who are at an increased risk of suffering from postpartum depression and/or premature birth using modern machine learning techniques.
we have done this all using machine learning techniques, using AI techniques,
We will use machine learning techniques on response data,
jointly investigate new opportunities of applying machine learning techniques in monitoring and management of power devices and power systems.
Mimicking of human hand motion on robot arm using point cloud and Machine learning techniques 2018 Independent thesis Advanced level(degree of Master(One Year)), 10 credits/ 15 HE creditsStudent thesis Abstract en.
feedback control and machine learning techniques with data from practical experiments on brain computer interfaces.
The objective of this course is to add specialisation in application of machine learning techniques in power systems to the topics on data modelling and analysis introduced in
Local, instructor-led live Machine Learning(ML) training courses demonstrate through hands-on practice how to apply machine learning techniques and tools for solving real-world problems in various industries.