Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Statistical Learning Theory: Crash Course
Graph Chatbot
Related lectures (29)
Previous
Page 1 of 3
Next
Real Functions: Definitions and Properties
Explores real functions, covering parity, periodicity, and polynomial functions.
Probability and Statistics
Covers mathematical concepts from number theory to probability and statistics.
Probabilistic Functions: Free Fields and Random Variables
Covers free fields and probabilistic functions, focusing on random variables and their properties.
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Proof of Empirical Process Deviations
Covers the proof of bounds on empirical process deviations, focusing on mathematical derivations and inequalities.
Relations in Computer Science
Explores the properties of relations in computer science, including equivalence relations and the partition of a set.
Course Overview: Teaser on Course Contents
Offers an overview of propositional and predicate logic, sets, functions, relations, algorithms, Swiss cities, sorting tables, Covid infections, poker hands, and prime numbers.
Introduction and Notations
Introduces advanced probability concepts, focusing on key notations and conventions.
Taylor Series: Convergence and Applications
Explores Taylor series convergence and applications in approximating functions and solving mathematical problems.
Entropy and the Second Law of Thermodynamics
Covers entropy, its definition, and its implications in thermodynamics.
