Machine learning is a method in data science for analysing large data sets and extracting hidden ... more Machine learning is a method in data science for analysing large data sets and extracting hidden patterns and common characteristics in the data. Corporations often have access to databases containing great amounts of data that could contain valuable information. Navetti AB wants to investigate the possibility to automate their product categorisation by evaluating different types of machine learning algorithms. This could increase both timeand cost efficiency. This work resulted in three different prototypes, each using different machine learning algorithms with the ability to categorise products automatically. The prototypes were tested and evaluated based on their ability to categorise products and their performance in terms of speed. Different techniques used for preprocessing data is also evaluated and tested. An analysis of the tests shows that when providing a suitable algorithm with enough data it is possible to automate the manual categorisation.
Nar man inom filosofihistorien diskuterat fragan om djuret, har utgangspunkten ofta varit en nega... more Nar man inom filosofihistorien diskuterat fragan om djuret, har utgangspunkten ofta varit en negativ kontrast till det manskliga. Medan manniskan tillskrivits formagor som medvetenhet, rationalitet ...
This paper contributes to the debate about the absence of nonhuman animals in environmental and s... more This paper contributes to the debate about the absence of nonhuman animals in environmental and sustainable education (ESE) and the challenge of the anthropocentric characterisation of European education. Relating to the debate about a pluralistic approach in ESE as a ‘one-species only pluralism’, we draw on Val Plumwood’s ecofeministic dialogical interspecies ethics and Rosi Braidotti’s understanding of a posthuman/nomadic subjectivity. By regarding ‘difference’ as a constituting force, we present a ‘critical pluralistic’ approach to human-animal relationships in ESE. Instead of drawing new lines of moral consideration for nonhuman beings, an ethical and political appreciation of what nonhuman others can do in ESE is suggested. Recommendations for educational practice are to recognise nonhuman agency to reveal political and ethical dimensions, recognise the agency of non-living animals and stay in conflicts and ‘study up’ and develop an immanent critique, which could lead to alternative pedagogical approaches to human-animal relationships in different cross-curricula settings.
Machine learning is a method in data science for analysing large data sets and extracting hidden ... more Machine learning is a method in data science for analysing large data sets and extracting hidden patterns and common characteristics in the data. Corporations often have access to databases containing great amounts of data that could contain valuable information. Navetti AB wants to investigate the possibility to automate their product categorisation by evaluating different types of machine learning algorithms. This could increase both timeand cost efficiency. This work resulted in three different prototypes, each using different machine learning algorithms with the ability to categorise products automatically. The prototypes were tested and evaluated based on their ability to categorise products and their performance in terms of speed. Different techniques used for preprocessing data is also evaluated and tested. An analysis of the tests shows that when providing a suitable algorithm with enough data it is possible to automate the manual categorisation.
Nar man inom filosofihistorien diskuterat fragan om djuret, har utgangspunkten ofta varit en nega... more Nar man inom filosofihistorien diskuterat fragan om djuret, har utgangspunkten ofta varit en negativ kontrast till det manskliga. Medan manniskan tillskrivits formagor som medvetenhet, rationalitet ...
This paper contributes to the debate about the absence of nonhuman animals in environmental and s... more This paper contributes to the debate about the absence of nonhuman animals in environmental and sustainable education (ESE) and the challenge of the anthropocentric characterisation of European education. Relating to the debate about a pluralistic approach in ESE as a ‘one-species only pluralism’, we draw on Val Plumwood’s ecofeministic dialogical interspecies ethics and Rosi Braidotti’s understanding of a posthuman/nomadic subjectivity. By regarding ‘difference’ as a constituting force, we present a ‘critical pluralistic’ approach to human-animal relationships in ESE. Instead of drawing new lines of moral consideration for nonhuman beings, an ethical and political appreciation of what nonhuman others can do in ESE is suggested. Recommendations for educational practice are to recognise nonhuman agency to reveal political and ethical dimensions, recognise the agency of non-living animals and stay in conflicts and ‘study up’ and develop an immanent critique, which could lead to alternative pedagogical approaches to human-animal relationships in different cross-curricula settings.
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