Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Information Retrieval Basics: Document Frequency and Precision
Graph Chatbot
Related lectures (33)
Performance Criteria: Confusion Matrix, Recall, Precision, Accuracy
Log in to Mediaspace to watch this video
Explores performance criteria in supervised learning, emphasizing precision, recall, and specificity in model evaluation.
Probabilistic Retrieval Models
Log in to Mediaspace to watch this video
Covers probabilistic retrieval models, evaluation metrics, query likelihood, user relevance feedback, and query expansion.
Linear Regression: Basics
Log in to Mediaspace to watch this video
Covers the basics of linear regression, binary and multi-class classification, and evaluation metrics.
Information Retrieval: Basics and Techniques
Log in to Mediaspace to watch this video
Introduces the basics of Information Retrieval, covering indexing, weighting schemes, cosine similarity, and query evaluation.
Linear Models for Classification: Multi-Class Extensions
Log in to Mediaspace to watch this video
Covers linear models for multi-class classification, focusing on logistic regression and evaluation metrics.
Introduction to Quantum Chaos
Log in to Mediaspace to watch this video
Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.
Supervised Learning Essentials
Log in to Mediaspace to watch this video
Introduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.
Information Retrieval Basics
Log in to Mediaspace to watch this video
Introduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.
Gaussian Naive Bayes & K-NN
Log in to Mediaspace to watch this video
Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.
Information retrieval: vector space
Log in to Mediaspace to watch this video
Covers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.
Hydraulic Transients of Turbines: Hydroacoustic Modeling
Log in to Mediaspace to watch this video
Explores hydraulic turbine modeling, stability, and historical development, emphasizing the selection criteria for Francis turbines.
Logistic Regression: Probabilistic Interpretation
Log in to Mediaspace to watch this video
Covers logistic regression's probabilistic interpretation, multinomial regression, KNN, hyperparameters, and curse of dimensionality.
Causal Systems & Transforms: Delay Operator Interpretation
Log in to Mediaspace to watch this video
Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.
Previous
Page 2 of 2
Next