YoVDO

Statistical Network Analysis - Course 2

Offered By: Instituto de Matemática Pura e Aplicada via YouTube

Tags

Network Analysis Courses Data Analysis Courses Machine Learning Courses Discrete Mathematics Courses Graph Theory Courses Algorithms Courses Probability Theory Courses Random Graphs Courses Computational Statistics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore statistical network analysis in this comprehensive lecture from the Extended Program on Randomness and Learning on Networks at IMPA. Delve into advanced topics presented by Joshua Cape from the University of Wisconsin as part of a month-long program designed for researchers in discrete Probability, Statistics, and related fields. Gain insights into cutting-edge research, participate in collaborative work sessions, and engage with open problems in the field. Learn about the program's structure, including weekly talks by participating researchers, minicourses in Statistics for PhD students, and opportunities for financial aid and networking with international institutions.

Syllabus

Extended Program - Randomness and Learning on Networks - Course 2 - Joshua Cape - 04


Taught by

Instituto de Matemática Pura e Aplicada

Related Courses

Introduction to Bayesian Statistics
Databricks via Coursera Probability via Computation - Week 4
The Julia Programming Language via YouTube On the Unreasonable Effectiveness of Compressive Imaging - Ben Adcock, Simon Fraser University
Alan Turing Institute via YouTube The Mother of All Representer Theorems for Inverse Problems and Machine Learning - Michael Unser
Alan Turing Institute via YouTube Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University
Alan Turing Institute via YouTube