LIST-I LIST-II A. Expert systems I. Medical Diagnosis B. NLP II. Text Summarization C. Computer Vision III. Image Classification D. ML IV. Predictive Analysis
Matching AI Concepts with Applications
This question requires matching concepts from List-I (Artificial Intelligence and Machine Learning areas) with their corresponding applications in List-II.
List-I and List-II Analysis
- A. Expert systems: These systems are designed to mimic the decision-making ability of a human expert. A primary application is I. Medical Diagnosis.
- B. NLP (Natural Language Processing): This field focuses on enabling computers to understand and process human language. A key application is II. Text Summarization.
- C. Computer Vision: This area allows computers to interpret and understand visual information from the world. A core task is III. Image Classification.
- D. ML (Machine Learning): This is a broad field focused on algorithms that learn from data to make predictions or decisions. IV. Predictive Analysis is a common application.
Correct Matching
Based on the analysis, the correct pairings are:
- A - I (Expert systems - Medical Diagnosis)
- B - II (NLP - Text Summarization)
- C - III (Computer Vision - Image Classification)
- D - IV (ML - Predictive Analysis)
Therefore, the correct option represents the matching A-I, B-II, C-III, D-IV.
Important Questions from Artificial Intelligence - Teaching
- The term 'Artificial Intelligence' was coined by:
- Which planning approach is used for environment with no observations?
- In artificial intelligence, the term "Turing Test" is primarily associated with:
Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: Unsupervised learning algorithms are used for tasks like data summarization and exploratory data analysis.
Reason R: Unsupervised learning requires labelled dataset to find relationships and patterns in data.
In the light of the above statements, choose the most appropriate answer from the options given below
Consider the following statements about reinforcement learning.
A. The adaptive dynamic programming agent leaves the transition model between states utilizes to solve the corresponding Markov decision process using dynamic programming.
B. Temporal difference needs a transition model to perform its updates.
C. The prioritized sweeping heuristic focuses on adjusting states with successors that have undergone significant changes in utility estimates.
D. The approach of modified policy iteration involves adopting a simplified value utility estimates following each change to the learned model.
Choose the correct answer from the options given below :
