YoVDO

From Probabilistic Logics to Neuro-Symbolic Artificial Intelligence

Offered By: RWTH Center for Artificial Intelligence via YouTube

Tags

Machine Learning Courses Logic Courses Probability Courses Reasoning Courses Probabilistic Programming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the integration of learning and reasoning in artificial intelligence through this 46-minute lecture by Prof. Luc De Raedt from KU Leuven. Delve into the fields of statistical relational artificial intelligence and probabilistic programming, examining how they unify logic and probability. Discover the connections between StarAI, probabilistic logics, and neuro-symbolic artificial intelligence techniques. Learn about the Deep Probabilistic Logic Programming languages DeepProbLog and DeepStochLog, which illustrate the parallels between these fields. Gain insights from a renowned expert in machine learning, data mining, and artificial intelligence, and understand the potential of combining StarAI with neural networks to advance neuro-symbolic computation.

Syllabus

AIC: From Probabilistic Logics to Neuro-Symbolic Artificial Intelligence (Prof. Luc De Raedt)


Taught by

RWTH Center for Artificial Intelligence

Related Courses

Advanced Statistics for Data Science
Johns Hopkins University via Coursera
AI and Machine Learning Essentials with Python
University of Pennsylvania via Coursera
An Introduction to Machine Learning in Quantitative Finance
University College London via FutureLearn
Calculus: Single Variable Part 4 - Applications
University of Pennsylvania via Coursera
Preparing for the AP* Statistics Exam
University of Houston System via Coursera