Machine Learning: Introduction for Beginners

Machine learning : initiation pour débutants

IN BRIEF Machine Learning Principles: Understanding the fundamental elements. Predictive Model: Manipulation of basic functions. Training: Beginners Data Bootcamp at Jedha, 75 hours over 2 weeks. Learning by Experience: Technology with no human intervention for complex tasks. Recommended Books: Books suitable for beginners in Machine Learning. Free Courses: Microsoft’s ML program with 26 lessons. Deep … Read more

Artificial intelligence: practical applications and societal impacts

Intelligence artificielle : applications pratiques et impacts sociétaux

IN BRIEF Practical applications of artificial intelligence in various sectors. Improvement of productivity at work through automation. Impact of AI on jobs and the transformation of professional tasks. Facilitation of accessibility for people with disabilities. Questions of ethics related to the use of AI technologies. Influence of AI on social behaviors and communication. Examples of … Read more

The role of mathematics in artificial intelligence

Le rôle des mathématiques dans l'intelligence artificielle

IN BRIEF Use of mathematics to model complex systems. Neural networks and their mathematical foundation. Statistics to analyze and interpret data. Supervised learning and parameter tuning. Modern theories to predict chaotic phenomena. Applied mathematics in operations research. Influence on education and the teaching of mathematics. Optimization of learning methods through mathematics. Data security through mathematical … Read more