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We understand which tech and soft skills are required in order to utilise the opportunities for digitalisation – and know where one can find them.
We remain on the pulse of the times and pursue the latest technology trends in order to be able to optimally advise our clients.
We handle each mandate exclusively and familiarise ourselves with our clients’ requirements so that every candidate is suitable.
Contrary to the name, machine learning has nothing to do with robots or machines, but rather occurs in the computer. It means the evaluation of data with a subsequent prognosis. For this, computers must be “trained” and/or “fed” data in order to be able to make precise predictions. For the prediction work, computers require a high amount of storage capacity and a lot of computing power. Algorithms play a central role in machine learning because they are responsible for the identification of models and the generation of suitable solutions.
In the first stage, algorithms form correlations between the data based upon the available database. These functions are then created which describe these correlations. The functions that have been set up help algorithms to be able to make precise forecasts.
A computer can, for example, assess the quality of a cat picture down to the individual pixel. Based upon the position and brightness of the pixel, it learns which combinations will lead to the image of a cat. Thus, the algorithm will develop an ongoing model for cat pics.
It then compares each new image with this model. Does it look similar? Then it is most likely a cat.
Machine learning systems these days are able to implement activities, e.g. the optimisation of processes based upon recognised models, the independent adaptation to developments or the calculations of the probabilities of certain results. Particularly for the analysis, understanding and evaluation of consumer behaviour, machine learning has ascended to become an indispensable factor for company success.
PALTRON will find candidates who will precisely fulfil your job requirements profile. Contact us and have yourself individually advised by our headhunting experts.
Machine learning systems these days are able to implement activities, e.g. the optimisation of processes based upon recognised models, the independent adaptation to developments or the calculations of the probabilities of certain results. Particularly for the analysis, understanding and evaluation of consumer behaviour, machine learning has ascended to become an indispensable factor for company success.
Machine learning systems these days are able to implement activities, e.g. the optimisation of processes based upon recognised models, the independent adaptation to developments or the calculations of the probabilities of certain results. Particularly for the analysis, understanding and evaluation of consumer behaviour, machine learning has ascended to become an indispensable factor for company success.
Machine learning systems these days are able to implement activities, e.g. the optimisation of processes based upon recognised models, the independent adaptation to developments or the calculations of the probabilities of certain results. Particularly for the analysis, understanding and evaluation of consumer behaviour, machine learning has ascended to become an indispensable factor for company success.
Machine learning systems these days are able to implement activities, e.g. the optimisation of processes based upon recognised models, the independent adaptation to developments or the calculations of the probabilities of certain results. Particularly for the analysis, understanding and evaluation of consumer behaviour, machine learning has ascended to become an indispensable factor for company success.