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Prof John Augustine
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NOC:Algorithms for Big Data
by Prof John Augustine
4.5
(2)
15 Enrollments
Validity Unlimited
Free
NOC:An Introduction to Probability in Computing
by Prof John Augustine
5.0
(1)
4 Enrollments
Validity Unlimited
Free
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Published onLast Updated onUn-Published on
01 January, 1970
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15 Enrollments
Validity Unlimited
FREE
NOC:Algorithms for Big Data
"Big data is data so large that it does not fit in the main memory of a single machine, and the need to process big data by efficient algorithms arises in Internet search, network traffic monitoring, machine learning, scientific computing, signal processing, and several other areas. This course will cover mathematically rigorous models for developing such algorithms, as well as some provable limitations of algorithms operating in those models.
All Level
English
Related Keywords
NOC:Algorithms for Big Data
NOC:An Introduction to Probability in Computing
5.0
(1)
Published onLast Updated onUn-Published on
01 January, 1970
This course is now removed from course marketplace, You can always publish it again
Your course can't be published ! please review your course content,
unappropiate contents are marked
Once you will complete the course creation steps you are ready to publish this
course
4 Enrollments
Validity Unlimited
FREE
NOC:An Introduction to Probability in Co..
Combinatorics, Probability and Computing is a peer-reviewed scientific journal in mathematics published by Cambridge University Press. Its editor-in-chief is Béla Bollobás (DPMMS and University of Memphis). The journal covers combinatorics, probability theory, and theoretical computer science. Currently, it publishes six issues annually. As with other journals from the same publisher, it follows a hybrid green/gold open access policy, in which authors may either place copies of their papers in an institutional repository after a six-month embargo period, or pay an open access charge to make their papers free to read on the journal's website.