Machine for testing the compressibility

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depends largely on the nature of the symptoms. the first investigation is an electrocardiogram (ecg/ekg), both for "stable" angina and acute coronary syndrome. an x-ray of the chest and blood tests may be performed.[ citation needed ] stable angina[ edit ] main article: angina pectoris in "stable" angina

. this process usually necessitates hospital admission and close observation on a coronary care unit for possible complications (such as cardiac arrhythmias – irregularities in the heart rate). depending on the risk assessment, stress testing or angiography may be used to identify and treat coronary...

https://en.wikipedia.org/wiki/Coronary_heart_disease

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multiphase fluid dynamics | in silico models of coupled biological systems | data-integrated model reduction for particles and continua | data-integrated control systems design with guarantees | on-the-fly model modification, error control, and simulation adaptivity | machine learning for simulation

and received his phd degree (dr. rer. nat.) in . he was awarded a scholarship by the excellence academy for young scientists (nachwuchsakademie) sponsored by the german research foundation in . from to he worked as a postdoc at the lawrence livermore national lab, usa. from until he was head of the...

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business operation. at some point, the amount of data produced goes beyond simple processing capacities. that's where machine learning algorithms kick in. however, before any of it could happen - the information needs to be explored and made sense of. that is what unsupervised machine learning is for

unsupervised learning is a type of machine learning algorithm that brings order to the dataset and makes sense of data. unsupervised machine learning algorithms are used to group unstructured data according to its similarities and distinct patterns in the dataset. the term "unsupervised" refers to the...

https://theappsolutions.com/blog/development/unsupervised-machine-learning/

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the possible risks and avoid the unnecessary drain on resources, modern organizations adopt the data-driven approach to digital transformation. they use data science, big data, machine learning, bi to collect, process, and analyze their business data, which they can then turn into actionable insights

. latest surveys indicate that data connectivity and integration are considered as critical components for digital transformation by most businesses. the number of job postings for data scientists is growing by % year-over-year (with a total % growth since ). related search queries for 'data science'...

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