COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Unsupervised Learning:Clustering
|
|
|
Supervised Learning:Classification
|
|
|
Reinforcement Learning
|
|
|
Unsupervised Learning:Regression
|
Detailed explanation-1: -Reinforcement Learning is used in multiple areas of NLP like text summarization, question answering, translation, dialogue generation, machine translation etc. Reinforcement Learning agents can be trained to understand a few sentences of the document and use it to answer the corresponding questions.
Detailed explanation-2: -Predictive text, text summarization, question answering, and machine translation are all examples of natural language processing (NLP) that uses reinforcement learning. By studying typical language patterns, RL agents can mimic and predict how people speak to each other every day.
Detailed explanation-3: -Reinforcement learning (RL) is defined as a sub-field of machine learning that enables AI-based systems to take actions in a dynamic environment through trial and error methods to maximize the collective rewards based on the feedback generated for respective actions.