{"id":7,"date":"2020-04-20T14:55:43","date_gmt":"2020-04-20T12:55:43","guid":{"rendered":"https:\/\/nr.stage.dekodes.no\/?post_type=bc_department&p=7"},"modified":"2025-10-27T14:38:11","modified_gmt":"2025-10-27T13:38:11","slug":"samba","status":"publish","type":"bc_department","link":"https:\/\/nr.stage.dekodes.no\/en\/departments\/samba\/","title":{"rendered":"Statistical modelling and machine learning"},"content":{"rendered":"\n
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We specialise in research and development in statistical modelling and machine learning across sectors, including finance, insurance, technology, industry, healthcare, and climate and environment.<\/strong><\/p>\n\n\n\n

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The Department of Statistical Modelling and Machine Learning, SAMBA<\/em>. <\/figcaption><\/figure>\n\n\n\n

We develop solutions for our clients by extracting insights from all types of data. We have theoretical and applied expertise in statistical modelling and machine learning, including natural language processing. We work closely with our clients and partners to develop models, conduct analyses, and implement operational systems. <\/p>\n\n\n\n

Central to our approach is guiding our clients towards the best piece of data to further innovation. Our researchers also contribute to methodological advancement, offering valuable theoretical insights and extensions of established methodologies.  
 
Statistical modelling and machine learning are at the heart of artificial intelligence. Accurate forecasting, uncertainty quantification, risk assessment and classification demands an understanding of both classical statistical methods and modern machine learning techniques. Our experienced researchers excel in selecting the right methodology for a given practical problem. This proficiency is fundamental for understanding possibilities and constraints, as well as for leveraging available data in order to implement user-friendly solutions. 
 
Our solutions cater to a wide range of applications, ensuring their relevance and effectiveness. Among our areas of expertise are: <\/p>\n\n\n\n