Answer:
1)The Sleepwalker Effect. This effect has several dimensions. ...
2)The Transparency Effect. ...
3)The Black Box Effect. ...
4)The Splintering Effect.
Answer:
a. This is an instance of overfitting.
Explanation:
In data modeling and machine learning practice, data modeling begins with model training whereby the training data is used to train and fit a prediction model. When a trained model performs well on training data and has low accuracy on the test data, then we say say the model is overfitting. This means that the model is memorizing rather Than learning and hence, model fits the data too well, hence, making the model unable to perform well on the test or validation set. A model which underfits will fail to perform well on both the training and validation set.
Answer:
Go to internet, click use as LAN under the cable section and click yes to confirm
Answer:
The following where many reasons why IPv6 was used instead of IPv5 which are the limitation of it's 32 bit address, IPv5 began or used with a different name called Internet streaming, IPv6 provides unlimited addressing, because it comprises of 128 bit.
Explanation:
Solution:
The following reasons why Proponents of IPs used IPV6 instead of IPv5 is stated as follows:
- Due to its limited 32 bit addressing
- IPv6 offers almost unlimited addressing because of its 128-bit addressing
- IPv5 started under a different name which is internet stream(ST)
- ST(Internet streaming) was developed for streaming video and voice
- ST was developed by Apple, NeXT, and Sun Microsystems
- ST was effective on specific frequency to carry out communication
