Answer:
The correct answer is c) neural network .
Explanation:
Neural networks (also known as connectionist systems) are a computational model vaguely inspired by the behavior observed in their biological counterpart. It consists of a set of units, called artificial neurons, connected to each other to transmit signals. The input information crosses the neural network (where it undergoes various operations) producing output values.
Each neuron is connected to others through links. In these links the output value of the previous neuron is multiplied by a weight value. These weights in the bonds can increase or inhibit the activation state of adjacent neurons. Similarly, at the exit of the neuron, there may be a limiting function or threshold, which modifies the result value or imposes a limit that must be exceeded before spreading to another neuron. This function is known as the activation function. Artificial neural networks (also known as connectionist systems) are a computational model vaguely inspired by the behavior observed in their biological counterpart. It consists of a set of units, called artificial neurons, connected to each other to transmit signals. The input information crosses the neural network (where it undergoes various operations) producing output values.
Answer:
B. Luxurious facilities
Explanation:
As retailing companies grow, they begin to create new businesses, sometimes, offering a greater range or acquiring more expensive facilities (luxurious facilities), but this could cause them to lose the main drive that brought them into the market in the first place.
Unfortunately, they then become vulnerable to fast rising discounters and lower cost structures which eventually takes their place along the wheel.
Over the next few years, many organizations will be collecting <u>vast </u>amounts of data on their employees ranging from engagement to well-being.
<h3>How is Big Data Collected?</h3>
Much of the big data that employees, persons, organizations generate come from three major sources:
- Machine Data
- Transactional Data
- Social Data
Data collection and analysis provide insights that are useful for strategic decision-making. This is why organizations are looking to collect and analyze them.
See the link below for more about Big Data:
brainly.com/question/24916490
Answer:
Labor Productivity: ...
Exchange rates and Currency Risk: ...
Costs: ...
Political Risk, Values and Culture: ...
Proximity to Markets: ...
Proximity to Competitor:
Answer:
Marginal product= 1,000
Explanation:
Marginal product can be defined as a change in output resulting from a change in factor input.
It is calculated by
Marginal product (MP)= Change in output/change in inputs
That is,
MP= ∆Q/∆input
At
inputs= 100 acres of land
Output= 5,000 bushels of peaches
At
Inputs=101 acres
Output=6000 bushels of peaches
Marginal product= Change in output/change in inputs
Change in output= New - old
=6,000-5,000
=1,000 bushels of peaches
Change in inputs= New - old
= 101-100
=1 acre
Marginal product= 1000/1
= 1,000