Machine learning: initiation for beginners

Machine learning : initiation pour débutants

IN BRIEF Machine Learning Principles : Understanding the fundamental elements. Predictive Model : Manipulating basic functions. Training : Jedha’s beginner Data bootcamp, 75 hours in 2 weeks. Experiential Learning : Technology without human intervention for complex tasks. Recommended Books : Books suited for beginners in Machine Learning. Free Courses : Microsoft ML program with 26 … Read more

Artificial intelligence: practical applications and societal impacts

Intelligence artificielle : applications pratiques et impacts sociétaux

IN SHORT 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. Ethical questions related to the use of AI technologies. Influence of AI on social behaviors and communication. Examples of applications … 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