Answer: The "S" in HTTPS stands for secure and indicates that the secure sockets layer protocol has been applied to the website. Catfishing is posting inflammatory remarks online to generate negative
Explanation: I hope this helps<3
Answer:
Alignment
Explanation:
Because the words become aligned
Answer:
Following are the features for formatting a report in word 2013
Design Tab
Convenient Layout options and alignment
Resume work option
Managing longer documents in a better way
Enhanced table features
Explanation:
In word 2013, many of the new features were introduced:
The design tab was given a new look, including templates options and much more.
The layout option was also made much convenient by putting all necessary option under the right-click option.
Word started to present an option for resuming the work were you left last time. This made the working much efficient.
By dealing with headings the word 2013 version made it easier to compact the document by collapsing heading and focus on the specific part you want.
Many of the options were added to tables formatting such as border, colors, line weight and much more.
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.
