Answer:
true
Explanation:
web application is a software or program which is accessible using any web browser.
Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
Answer:
40
Explanation:
Given that:
A neural network with 11 input variables possess;
one hidden layer with three hidden units; &
one output variable
For every input, a variable must go to every node.
Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:
= ( inputs + bias) × numbers of nodes
= (11 + 1 ) × 3
= 12 × 3
= 36 weights
Also, For one hidden layer (with 3 nodes) and one output
The entry result for every hidden node will go directly to the output
These results will have weights associated with them before computed in the output node.
Thus; using the formula
= (numbers of nodes + bais) output, we get;
= ( 3+ 1 ) × 1
= 4 weights
weights with respect to input and hidden layer total = 36
weights with respect to hidden and output layer total = 4
Finally, the sum of both weights is = 36 + 4
= 40
