Examples of using More complex data in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Working with more complex data types.
A'flash cookie' is a file similar to a cookie,except that they can store more complex data.
Elixir also includes more complex data types.
Flash Cookies are data files similar to Cookies,except that they can store more complex data.
This can be a problem with more complex data structures.
Then MongoDB came to the picture which started to gaintraction by giving developers the flexibility to deal with more complex data.
Put simply, big data is larger, more complex data sets, especially from new data sources.
Design-wise it is similar to Waveface LIght except for the fact that when it is opened,you can use it to watch video or handle more complex data.
Loops are frequently used in combination with one of PHP's more complex data types, the animal known as the array.
Flash Cookies”(Local Shared Objects or“LSOs”) are data files similar to cookies,except that they can store more complex data.
In addition, the computer can manipulate more complex data types that come from grouping several bytes, such as long numbers or non-integer numbers.
Flash Cookies(also called Local Shared Objects or“LSOs”): these are data files similar to cookies,except that they can store more complex data.
Redis is a different evolution path in the key-valueDBs where values can contain more complex data types, with atomic operations defined on those data types.
Combining the Merkle trees and AST allows adding more complex data sets to the transactions that will be inserted in the bitcoin blockchain, while also allowing for the reduction of the transaction data size thanks to the use of Merkle Proofs.
This opens up the possibility of quickly andautomatically producing models that can analyse bigger, more complex data and deliver faster,more accurate results- even at a very large scale.
CMR enables you to leverage the 85% of untapped(and unstructured) data found inside your organisation, This means you canautomate MORE by automating deeper processes and more complex data.
It's possible to quickly andautomatically produce models that can analyse bigger, more complex data and deliver faster,more accurate results- even on a very large scale.
The combination of Merkle trees and ASTs make it possible for more complex data sets to be added to transactions within the Bitcoin blockchain while still allowing for smaller transaction data due to the use of Merkle proofs.
Now, all of the above things mean that- it's possible to quickly andautomatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results(even on a very large scale).
These data types are called primitive data types andyou can use these data types to build more complex data types, which are called user-defined data type, for example a string will be a sequence of characters.
Machine learning, a specific subset of AI that trains a machine how to learn, makes it possible to quickly andautomatically produce models that can analyze bigger, more complex data sets and deliver faster,more accurate results- even on a very large scale.
What this means is that now it's possible to automaticallyproduce models that can analyze bigger, more complex data and deliver faster,more accurate results- even on a very large scale.
All of these things mean it's possible to quickly andautomatically produce models that can analyze bigger, more complex data and deliver faster,more accurate results- even on a very large scale.
With machine learning it is possible to quickly andautomatically produce models that can analyze bigger, more complex data and deliver faster,more accurate results- even on a very large scale.
All of these things mean it's possible to speedily andinevitably produce models that can analyze bigger, more complex data and deliver quicker,more accurate results- even on a very large scale.
All of these matters mean it's possible to quickly andautomatically produce models that can evaluate bigger, more complex data and deliver quicker,more accurate results- even on a very extensive.
It makes complex data more accessible, understandable and available.