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Category:Machine Learning

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[https://en.wikipedia.org/wiki/Machine_learning From Wikipedia ] ''__NOTOC__=Machine learning (ML) Learning Services article index=This is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligencecategory page for the product Machine Learning Services. Machine learning algorithms build a mathematical model based on sample data, known as "training data"On this page, you can review '''ALL''' available wiki documentation listed in alphabetical order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.''
''==Embedded Design Services useful links==* {{RFQ|product-name=Machine Learning Services}}* {{CustomerService}}* {{ServiceMaintenance}}* [[Machine Learning Services| Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning and focuses on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.''Learning Services Main Page]]==Quick links per topic=====IoT Application Notes===Actually the new solutions available for the Embedded Market allow customers to start using these solutions for ML directly on edge device by[[:Category:Machine Learning AN|Machine Learning Services Application Notes page]]===IoT Technical Notes===*processing data and algorithms by using the local power computation (CPU, GPU, dedicated HW accelerators, FPGAs)[[:Category:Machine Learning TN|Machine Learning Services Technical Notes page]]*processing data and algorithms by using cloud services connected to the platform on the field===IoT White Papers===[[:Category:Machine Learning WP|Machine Learning Services White Papers page]]'''DAVE Embedded Systems is active in this field and ML is one of the main research interest with the aim to support customers adopting these features on their products and supporting the embedded design including these capabilities.'''===IoT Case Histories=== In the following there is a list of examples of studies DAVE Embedded Systems is currently working on[[:Category:Machine Learning CH|Machine Learning Services Case Histories page]]
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