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Messages - Tapushe Rabaya Toma

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16
Thanks for sharing Sir.

18
Machine Learning/ Deep Learning / Re: How do exactly machines learn?
« on: January 13, 2019, 01:23:49 PM »
Useful Information. Thanks for sharing. I want to work in this field and learn more. Could you please help me?

19
Useful Information. Thanks for sharing  :)

20
Machine Learning/ Deep Learning / Re: Slow Learning
« on: January 13, 2019, 01:19:26 PM »
Valuable information  :)

21
Important and useful information, Thanks for sharing, Sir  :)

22
Informative, Thanks for shared  :)

23
Informative, Thanks for sharing  :)

24
Useful post. Thanks for Sharing Sir.  :)

25
Software Engineering / Re: System Analysis and Design Tutorial
« on: January 13, 2019, 01:08:02 PM »
Thanks  :)

26
Software Engineering / Re: Data mining tutorial
« on: January 13, 2019, 01:07:30 PM »
Thanks but expected deep knowledge

27
More details Please   ;)

28
Software Engineering / Re: Wearable AI translator
« on: January 13, 2019, 01:05:56 PM »
 :o

29
Informative  :)

30
MOLAP (multidimensional online analytical processing) is online analytical processing (OLAP) that indexes directly into a multidimensional database. In general, an OLAP application treats data multidimensional; the user is able to view different aspects or facets of data aggregates such as sales by time, geography, and product model. If the data is stored in a relational data base, it can be viewed multidimensionally, but only by successively accessing and processing a table for each dimension or aspect of a data aggregate. MOLAP processes data that is already stored in a multidimensional array in which all possible combinations of data are reflected, each in a cell that can be accessed directly. For this reason, MOLAP is, for most uses, faster and more user-responsive than relational online analytical processing (ROLAP), the main alternative to MOLAP. There is also hybrid OLAP (HOLAP), which combines some features from both ROLAP and MOLAP.

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