Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
If it is on the desktop screen you just right click on the icon and select delete. from there if you're on a windows computer it goes to your recycle bin then you right click the recycle bin and a little rectangle pops up an in that rectangle it says clear recycle bin and once you press that all of the stuff that was in there is deleted. now if your on a computer that has chrome os installed you just go to the files screen and right click what you want to delete and click delete and it's gone.
Answer:
Means no matter how many processors you use, speed up never increase from 10 times.
Explanation:
If a problem of size W has a serial component Ws,then performance using parallelism:
Using Amdahl's Law:
Tp = (W - Ws )/ N + Ws
Here, Ws = .1,
W - Ws = .9
Performance Tp = (.9 / N) + .1
---------------------------------------------------------
Speed Up = 1 / ( (.9 / N) + .1)
If N -> infinity, Speed Up <= 10
Means no matter how many processors you use, speed up never increase from 10 times.
Answer:
Port scan targeting 192.168.1.106.
Explanation:
In the following question, there is some part of the question and options is missing.
In the following statement, when a file log is taken from the computer system which has Internet Protocol address is given in the statement and by the further details of the statement in which time and the port destination by examine those details of the Internet Protocol, the following port scan targeting the IP address 192.168.1.106.
Answer:
1 Array languages
2 Assembly languages
3 Authoring languages
4 Constraint programming languages
5 Command line interface languages
6 Compiled languages
7 Concurrent languages
8 Curly-bracket languages
9 Dataflow languages
10 Data-oriented languages
11 Decision table languages
12 Declarative languages
13 Embeddable languages
13.1 In source code
13.1.1 Server side
13.1.2 Client side
13.2 In object code
14 Educational languages
15 Esoteric languages
16 Extension languages
17 Fourth-generation languages
18 Functional languages
18.1 Pure
18.2 Impure
19 Hardware description languages
19.1 HDLs for analog circuit design
19.2 HDLs for digital circuit design
20 Imperative languages
21 Interactive mode languages
22 Interpreted languages
23 Iterative languages
Explanation:
