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.
Answer:
Microsoft PowerPoint.
Explanation:
Because, it is industry standard and widely recognized and used in world.
I think (a) is the answer because this is the screen that it should open when u use it
Answer:
"Private" is the right solution.
Explanation:
- Application servers supplied sometimes over the World wide web or through a personal corporate network as well as to chosen customers rather than the community benefit of the entire, is termed as the private cloud.
- It provides companies with the advantages of a cloud environment that include self-checkout, adaptability as well as flexibility.
Answer:
Hmmm, what would i recommand i think you Should learn skills and become innovative
Explanation:
Sir i'm gonna go toilet and come back
