LDA is a probabilistic topic modeling algorithm that is particularly well-suited for handling high-dimensional and sparse datasets. It is commonly used in text processing and natural language processing tasks to discover latent topics within a collection of documents. LDA can automatically identify patterns and relationships in large corpora, making it a valuable tool for analyzing unstructured textual data) The other options a) K-Nearest Neighbors, b) Decision Trees, c) Support Vector Machines, and (E) Linear Regression are not specifically designed for handling sparse and high-dimensional data, although they have their applications in various other data analysis tasks.
Consider the following statements about Foreign Exchange Reserves:
1. These may include foreign currencies, bonds, treasury bills, and other gove...
USSR was disintegrated in the period ______?
Which of the following is a financial derivative that allows an investor to swap or offset their credit risk with that of another investor?
Which of the following is not insured by the deposit insurance and credit guarantee corporation (DICGC)?
The Competition Commission of India (CCI) has slapped a fine of Rs 40 lakh on which bank for failing to notify the regulator about its acquisition of a ...
The inaugural officeholder of the chairperson of State Bank of India was?
What is the minimum capital adequacy ratio required for Indian banks under the Basel III norms?
Consider the following statements about National Payments Corporation of India:
1. It is a “Not for Profit” Company.
2. A properly des...
The Reserve Bank of India has accorded approval to ICICI Prudential Asset Management Company Ltd (ICICI AMC) for acquiring up to 9.95 per cent stake in ...
Special Drawing Rights (SDR) is an international reserve asset, created by the IMF in which of the following years?
