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عنوان فارسی مقاله:
یادگیری ماشین کارآمد برای داده های بزرگ: مروری
عنوان انگلیسی مقاله:
Efficient Machine Learning for Big Data: A Review
سال انتشار : 2015
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مقدمه انگلیسی مقاله:
1. Introduction
Today, it’s no surprise that reducing energy costs is one of the top priorities for many energy-related businesses. The global information and communications technology (ICT) industry that pumps out around 830 Mt carbon dioxide (CO2) emission accounts for approximately 2 percent of the global CO2 emissions [1]. ICT giants are constantly installing more servers so as to expand their capacity. The number of server computers in data centers has increased sixfold to 30 million in the last decade, and each server draws far more electricity than its earlier models [2]. The aggregate electricity use for servers had doubled between the years 2000 and 2005 period, most of which came from businesses installing large numbers of new servers [3]. This increase in energy consumption consequently results in higher carbon dioxide emissions, and hence causing an impact on the environment. Furthermore, most of these businesses, especially in an uncertain economic climate are placed under the pressure to reduce their energy expenditure in order to remain competitive in the market [4]. With the emerging of new technologies and all associated devices, it is predicted that there will be as much data created as was created in the entire history of planet Earth [5]. Given the unprecedented amount of data that will be produced, collected and stored in the coming years, one of the technology industry’s great challenges is how to benefit from it. During the past decade, mathematical intelligent machine-learning systems have been widely adopted in a number of massive and complex data-intensive fields such as astronomy, biology, climatology, medicine, finance and economy. However, current intelligent machine-learning-based systems are not inherently efficient or scalable enough to deal with large volume of data. For example, for many years, it is known that most non-parametric and model-free approaches require high computational cost to find the global optima. With high-dimensional data, their good data fitting capacity not only makes them more susceptible to the generalization problem but leads to an exponential rise in computational complexity.
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کلمات کلیدی:
Machine Learning for Big Data and Text Processing professional.mit.edu/programs/short-programs/machine-learning-big-data Enroll in the Machine Learning for Big Data and Text Processing course which is a part of MIT Professional Education's short program offerings. CSE547: Machine Learning for Big Data https://courses.cs.washington.edu/courses/cse547/ CSE547: Machine Learning for Big Data. Catalog Description: Machine Learning and statistical techniques for analyzing datasets of massive size and ... Machine learning for big data: ML machinelearningforbigdata.telecom-paristech.fr/en/ It is the goal of the Chair “Machine Learning for Big Data” to produce methodological research tackling the challenges of the statistical analysis of big data and to ... Machine learning and Big Data analytics: the perfect marriage - NGData https://www.ngdata.com/machine-learning-and-big-data-analytics-the-perfect-marriage/ Blog post about machine learning presentations at the ICML conference in Atlanta, June 17-21, 2013. Machine Learning overtaking Big Data? - KDnuggets www.kdnuggets.com/2017/05/machine-learning-overtaking-big-data.html Apr 30, 2017 - Is Machine Learning is overtaking Big Data?! We also examine trends for several more related and popular buzzwords, and see how BD, ML. Machine Learning: What it is and why it matters | SAS https://www.sas.com/en_us/insights/analytics/machine-learning.html While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data ... Searches related to Machine Learning for Big Data big data machine learning pdf graph analytics for big data machine learning with big data coursera difference between machine learning and big data big data machine learning tools big data and machine learning projects big data machine learning course machine learning big data tutorial
