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The M.S. in QM and Analytics is designed to prepare students to pursue a variety of QM and/or Analytics careers such as Quality Manager, Quality Analyst, Data Analyst, Business Analyst, Quality Consultant, and Quality Systems specialist, or to pursue doctoral-level graduate studies in preparation for research and instructional roles in quality ...
Senior Living Certification Commission (SLCC) is a nonprofit corporation, autonomous from Argentum, with its own governing Board of Commissioners. SLCC offers a voluntary certification program for assisted living executive directors. Certified Healthcare Simulation Educator: CHSE Society for Simulation in Healthcare
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Boost Software License: Yes Cross-platform: C++: C++, Python: Yes No Yes No Yes Yes No Yes Yes Yes Yes Flux: Mike Innes 2017 MIT license: Yes Linux, MacOS, Windows (Cross-platform) Julia: Julia: Yes No Yes Yes [13] Yes Yes No Yes Yes Intel Data Analytics Acceleration Library: Intel 2015 Apache License 2.0: Yes Linux, macOS, Windows on Intel CPU ...
Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software
TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44]
These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system .
Many AI platforms use Wikipedia data, [272] mainly for training machine learning applications. There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences, [ 273 ] detecting covert vandalism [ 274 ] or recommending articles and tasks to new editors.
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