IN BRIEF Probability: a measure of the chance that an event will occur (value between 0 and 1). Statistics: analysis of qualitative and quantitative data. Essential concepts: mean, median, mode. Calculation of probability: favorable events divided by the total number of events. Random variables and probability laws: fundamental notions. Difference between probabilities and statistics: use … Read more
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
IN BRIEF Definition of topology: study of properties invariant under continuous deformation. Introduction to topological spaces and the notion of neighborhood. Importance of limits and separation between sets. Basic concepts: normality, open and closed. Practical applications in various disciplines. Resources: recommended books and exercises for learning. Topology is a fascinating branch of mathematics that looks … Read more