Explore a concise 13-minute lecture on Vector Space Model (VSM) focusing on reinforcement through a practical example. Gain valuable insights into the application of VSM concepts as presented by NPTEL-NOC IITM, enhancing your understanding of this important topic in information retrieval and machine learning.
Overview
Syllabus
VSM - Example 1 (Reinforcement)
Taught by
NPTEL-NOC IITM
Related Courses
-
VSM, LSA, & SVD - Introduction to Text Analytics with R
-
Latent State Recovery in Reinforcement Learning - John Langford
-
Vector Embeddings for Semantic Search Made Easy with Practical Tips
-
Reinforcement Learning-based Recommender Systems with Large Language Models - SIGIR 2024
-
Complete Machine Learning & Data Science with Python | A-Z
-
Generative Retrieval via Term Set Generation - The Future of Search with LLMs
