Artificial Intelligence : foundation and applications

Synthesis

Introduction : left hand brain / right hand brainGraph theoryo Graphs and algorithms
o Application to planning review
o Problems of flux in a graph
o Size of research space and classes of complexity
o NP-hard problems : the traveling salesman problem
o The contribution of heuristics
Systems of deductive inferences
o Zero-order logic
o First-order logic
o Concept of undecidability
o Application in data science
Systems of inductive inferences
o Bayesian Approach
o Probabilistic modeling
o Machine learning techniques(supervised, unsupervised, reinforced)
o Techniques of datamining
Aeras of application in exploration – production

Language

french english

Audience type

Engineering Schools, MBA, University students

Planned duration

One day

Support material

Powerpoint Slides

Prerequisite

none

Objectives

sharing experiences with Students

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