Answer:
Explanation:
The following code is written in Java and creates the recursive function to find the longest common substring as requested.
static int lengthOfLongestSubsequence(String X, String Y) {
int m = X.length();
int n = Y.length();
if (m == 0 || n == 0) {
return 0;
}
if (X.charAt(m - 1) == Y.charAt(n - 1)) {
return 1 + lengthOfLongestSubsequence(X, Y);
} else {
return Math.max(lengthOfLongestSubsequence(X, Y),
lengthOfLongestSubsequence(X, Y));
}
}
Answer: A :is concerned with defending users’ freedom of use
C:makes source code available for editing
Explanation:
The workgroup as a type of windows network model allows all the participants to be represented equally on the network with no single computer having authority or control over another. The workgroup is peer-to-peer local area network.
Members of this network group can share files, printers, Internet connection.<span> and other local network resources.</span>
Answer:
<u>VLANs</u>
Explanation:
Virtual LANs (VLANs) are a type of network connection or arrangement of network devices in the same broadcast domain. They are called Virtual LANs because they represent fractions or subgroups in the switch ports found in an Ethernet LAN.
Indeed, because of their topological arrangement, this reduces the security risk of unauthorized access to sensitive data or devices since the host can be placed on a different VLAN. Hence, in this scenario, using this network feature would allow visitors to plug into these ports to gain internet access, but they would not have access to any other devices on the private network.
Answer:
Compare the predictions in terms of the predictors that were used, the magnitude of the difference between the two predictions, and the advantages and disadvantages of the two methods.
Our predictions for the two models were very simmilar. A difference of $32.78 (less than 1% of the total price of the car) is statistically insignificant in this case. Our binned model returned a whole number while the full model returned a more “accurate” price, but ultimately it is a wash. Both models had comparable accuracy, but the full regression seemed to be better trained. If we wanted to use the binned model I would suggest creating smaller bin ranges to prevent underfitting the model. However, when considering the the overall accuracy range and the car sale market both models would be
Explanation:
