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
Probability: Independence
Graph Chatbot
Related lectures (38)
Probability and Statistics: Fundamentals
Log in to Mediaspace to watch this video
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Conditional Density and Expectation
Log in to Mediaspace to watch this video
Explores conditional density, expectations, and independence of random variables with practical examples.
Introduction to Inference
Log in to Mediaspace to watch this video
Covers the basics of probability theory, random variables, joint probability, and inference.
Law of Large Numbers: Strong Convergence
Log in to Mediaspace to watch this video
Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
Elements of Statistics: Probability and Random Variables
Log in to Mediaspace to watch this video
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Probability and Statistics: Basics and Applications
Log in to Mediaspace to watch this video
Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
Elements of Statistics
Log in to Mediaspace to watch this video
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Central Limit Theorem: Properties and Applications
Log in to Mediaspace to watch this video
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Statistics: Exploratory Data Analysis
Log in to Mediaspace to watch this video
Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.
Joint Probability and Marginal Laws
Log in to Mediaspace to watch this video
Explores joint probability, marginal laws, conditional laws, and potential paradoxes in probability theory.
Poisson Paradigm: Dependency Measures
Log in to Mediaspace to watch this video
Explores the Poisson Paradigm and dependency measures in ordered pairs and graphs.
Mock Exam Session: Instructions and Solutions
Log in to Mediaspace to watch this video
Guides students through a mock exam session and provides insights into solving probability and discrete mathematics exercises.
Expectation and Variance
Log in to Mediaspace to watch this video
Explores expectation and variance for discrete random variables, emphasizing properties and practical applications.
Data Standardization and Error Handling in Julia
Log in to Mediaspace to watch this video
Covers tips and tricks for working with Julia, focusing on setting up the environment, handling errors, and standardizing dataframes.
Conditional Probability
Log in to Mediaspace to watch this video
Covers the concept of conditional probability and its practical applications.
Probability Distributions: Independence and Linear Combinations
Log in to Mediaspace to watch this video
Explores independence, linear combinations of variables, and probability laws.
Dynamic Programming: Financial Adviser's Prediction
Log in to Mediaspace to watch this video
Covers a dynamic programming algorithm for a financial adviser to maximize the probability of impressing her clients.
Gaussian Mixture Models: Data Classification
Log in to Mediaspace to watch this video
Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.
Previous
Page 2 of 2
Next