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even though industrial investment in in-house exploration research and development in the united states decreased during the 1990s, new technologies, such as tomographic imaging (developed by the medical community) and gps (developed by the defense community), were newly applied to mineral exploration.
dstk - data science toolkits. dstk - data science toolkit 3 is a set of data and text mining softwares, following the crisp dm model.dstk offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and statistical learning algorithms. it is based on the old version dstk at https
the eye in ai. as we’ve reported, microsoft’s seeing ai is an app designed to help people with low vision or who are blind. it enhances the world around the user with rich audio descriptions. it can read a handwritten note or scan a barcode and then tell the user what the product is. point a camera at something and the app will describe how
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the eam softwares are going through a phase of change with interesting ideas for improvement and benefits for users. eam, acronym of enterprise asset management, are softwares that help ceo, administrators, stakeholders in the complex management of assets, that is, of monetizable assets, of any nature, that lead added value for companies.
a computer programmer's dream job at a hot portland-based firm turns nightmarish when he discovers his boss has a secret and ruthless means of dispatching anti-trust problems. director: peter howitt | stars: ryan phillippe, tim robbins, rachael leigh cook, claire forlani. votes: 28,636 | gross: $10.97m. 4.
data visualization techniques unlocks the potential to give your data a completely new meaning and revealing some hidden trends & information which otherwise would go unnoticed. all sectors ranging from education to research, advertising & marketing, all business setups, factories, banking sector, health care makes use of data extensively.
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an experimental design is the laying out of a detailed experimental plan in advance of doing the experiment. well chosen experimental designs maximize the amount of 'information' that can be obtained for a given amount of experimental effort. the statistical theory underlying doe generally begins with the concept of process models .
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