ISSN: 2041-6792

Clinical Investigation

Machine Online Journals

A Fully Managed Service that Supports The Leading Deep Learning Frameworks. Build, Train, And Deploy Machine Learning Models Quickly. Build, Train & Deploy. Deploy ML Models. Tune And Debug Models. Sage Maker Studio. Build ML Models. top quality Models. Machine Learning is a world forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a good range of learning methods applied to a spread of learning problems. The journal features papers that describe research on problems and methods, applications research, and problems with research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show the way to apply learning methods to unravel important applications problems. Research methodology papers improve how machine learning research is conducted. All papers describe the supporting evidence in ways in which are often verified or replicated by other researchers. The papers also detail the training component clearly and discuss assumptions regarding knowledge representation and therefore the performance task. Journal of Applied engineering is dedicated to advances in scientific understanding of essential mechanics of processes and machines applied to the manufacture of engineering components, mainly in metals, but also in composites, ceramics and other structural/functional materials. It doesn't affect large-scale natural organic materials. There are almost 40 Journals listed on this particular topic.    

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