BigDataFr recommends: On the Feasibility of Distributed Kernel Regression for Big Data « In modern scientific research, massive datasets with huge numbers of observations are frequently encountered. To facilitate the computational process, a divide-and-conquer scheme is often used for the analysis of big data. In such a strategy, a full dataset is first split into several […]
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[arXiv] BigDataFr highly recommends: Leading Undergraduate Students to Big Data Generation #datascientist #machinelearning #conceptlearning
BigDataFr highly recommends: Leading Undergraduate Students to Big Data Generation Introduction « People are facing a flood of data today. Data are being collected at unprecedented scale in many areas, such as networking[14][2][4], image processing[15 ][5], visualization[12], scientific computation, data base[17][18], and algorithms. The huge data nowadays are called Big Data. Big data is an all-encompassing […]
[ArXiv] BigDataFr recommends: Efficient Machine Learning for Big Data: A Review #datascientist #machine learning
BigDataFr recommends: Efficient Machine Learning for Big Data: A Review « With the emerging technologies and all associated devices, it is predicted that massive amount of data will be created in the next few years, in fact, as much as 90% of current data were created in the last couple of years,a trend that will continue […]
[arXiv] #datascientist BigDataFr recommends: Overview of Some New Digital Technology Trends Big Data
BigDataFr recommends: Overview of Some New Digital Technology Trends Big Data (Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies) « In a globalized world, companies and countries are exposed to a harsh competition. This produces a considerable pressure to create more efficient systems […]
[ArXiv] BigDataFr recommends: Understanding Big Data Analytic Workload On Modern Processors #datascientist #machine learning
BigDataFr recommends: Understanding Big Data Analytic Workload On Modern Processors « Big data analytics applications play a significant role in data centers, and hence it has become increasingly important to understand their behaviors in order to further improve the performance of data center computer systems, in which characterizing representative workloads is a key practical problem. In […]