The proliferation of machine learning means that learned classifiers lie at the core of many products across Google.
However, questions in practice are rarely so clean as to just to use an out-of-the-box algorithm.
publishes rigorously peer-reviewed research across all areas of fundamental and applied computational sciences.
Led by an outstanding Editorial Board of international researchers, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to academics, industry and the public worldwide.
Therefore, far from representing an inaccessible domain, computer science is one of the most relevant academic disciplines being pursued in universities, labs and research institutions today.
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aims to highlight this relevance by providing a high-visibility, open-access publishing outlet for the computer science community.All the submissions will be blind peer-reviewed by the panel of experts associated with IJCSSE.Submitted papers should meet the internationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing.Some examples of such technologies include F1, the database serving our ads infrastructure; Mesa, a petabyte-scale analytic data warehousing system; and Dremel, for petabyte-scale data processing with interactive response times.Dremel is available for external customers to use as part of Google Cloud’s Big Query.Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. The author selection is based on article impact analytics of original research published in the Frontiers specialty journals and sections.The International Journal of Computer Science and Software Engineering (IJCSSE) published since 2014 (E-ISSN 2409-4285) is an International refereed research publishing journal with a focused aim on promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Computer Science and Software Engineering.A big challenge is in developing metrics, designing experimental methodologies, and modeling the space to create parsimonious representations that capture the fundamentals of the problem.These problems cut across Google’s products and services, from designing experiments for testing new auction algorithms to developing automated metrics to measure the quality of a road map.A major research effort involves the management of structured data within the enterprise.The goal is to discover, index, monitor, and organize this type of data in order to make it easier to access high-quality datasets.