Table indicating application of each transaction on the bank reconciliation statement.
<h3>Bank reconciliation statement </h3>
Item Bank Balance Cash Book Balance Shown/Not shown
1. N/A Deduct Shown
2. N/A Add Shown
3. N/A N/A Not Shown
4. Add N/A Shown
5. N/A Deduct Shown
6. N/A N/A Not Shown
7. N/A Deduct Shown
8. N/A Add Shown
9. N/A N/A Not Shown
10. Deduct N/A Shown
11. Add N/A Shown
12. N/A Deduct Shown
N/A = not applicable
ADD= Add to the balance
Deduct =To deduct from the balances of the affected accounts
Shown/Not shown=Shown/Not shown on reconciliation
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Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
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Can’t see the picture but I think it’s C
Because there is a limited amount of compost with a limited amount of minerals. In the garden there is loads of soil and loads of minerals. because of decomposition and absorption minerals can easily be replaced in the garden soil, unlike in a plant pot.