APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Imagine a Newly-Born starts to learn walking. It will try to find a suitable policy to learn walking after repeated falling and getting up.specify what type of machine learning is best suited?
|
|
classification
|
|
|
regression
|
|
|
kmeans algorithm
|
|
|
reinforcement learning
|
Explanation:
Detailed explanation-1: -Reinforcement learning is neither supervised nor unsupervised as it does not require labeled data or a training set. It relies on the ability to monitor the response to the actions of the learning agent. Most used in gaming, robotics, and many other fields, reinforcement learning makes use of a learning agent.
Detailed explanation-2: -Some more examples of reinforcement learning in image processing include: Robots equipped with visual sensors from to learn their surrounding environment. Scanners to understand and interpret text. Image pre-processing and segmentation of medical images, like CT Scans.
There is 1 question to complete.