{"@context":"https://w3id.org/openbadges/v2","type":"Assertion","id":"https://badges.h-farm.com/api/json/v2/assertion/6582f0ffdd45c9b2f8a5647e","badge":{"context":"https://w3id.org/openbadges/v2","type":"BadgeClass","id":"https://badges.h-farm.com/api/json/v2/badgeclasses/6582d6e7dd45c9b2f8a55dca","image":"https://badges.h-farm.com/api/image/6582d6e7dd45c9b2f8a55dcc","criteria":{"type":"criteria","id":"https://badges.h-farm.com/badgeclasses/6582d6e7dd45c9b2f8a55dca","narrative":"Students will gain the Machine Learning: Zero to Hero Open Badge after having passed the relevant exam."},"issuer":{"context":"https://w3id.org/openbadges/v2","type":"Issuer","id":"https://badges.h-farm.com/api/json/v2/issuer/5bc755e7d76734be1888e982","image":"https://badges.h-farm.com/api/image/68c7db37f31f43d8cb266646","name":"H-FARM College","description":"H-FARM College is a H-FARM's unit: we are developing a learning environment that allows students to express their uniqueness, gain new skills, delve into exciting new knowledge that will allow them to freely and effectively express their creativity.","email":"info.college@h-farm.com","url":"https://www.h-farm.com/it/education/h-farm-college"},"name":"MACHINE LEARNING: ZERO TO HERO","description":"H-FARM College developed the Enhancing Courses for students in order to enhance and complete their academic education based on curricular courses.\r\n\r\nOur Enhancing Courses are taught by highly skilled executives, entrepreneurs or professors who will bring not only their knowledge, but also their business expertise to the class. ","tags":["Bsc","secondo anno"]},"image":"https://badges.h-farm.com/api/image/v2/assertion/6582f0ffdd45c9b2f8a5647e","verification":{"type":"HostedBadge"},"issuedOn":"2023-12-20T13:49:51.209Z","recipient":{"identity":"mattia.dotto@student.h-farm.com","type":"email","hashed":false,"_id":"6582f0ffdd45c9b2f8a5647f"},"evidence":[],"narrative":"CONTENT OF THE COURSE AND MATERIAL\n\nThe course will introduce and provide an overview of the concepts of machine learning, including supervised, unsupervised, and reinforcement learning. Specifically, it will focus on some of the most famous unsupervised learning techniques, such as:\n- Clustering\n- Principal Component Analysis (PCA)\n- Factor Analysis\n- Matrix factorization and matrix completion\n\nEach technique will be presented with multiple algorithms, and their potential applications will be discussed in detail.\n\nThe course structure will consist of two parts for each lesson:\n1) A lecture supported by a teacher's slide presentation, which will explain the theoretical concepts and practical aspects of the techniques.\n2) An hands-on computer laboratory session where students will apply the algorithms to real or synthetic data. The laboratories will be conducted using either R or Python programming languages.\n\nThe main text for reference throughout the course is:\nJames, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). \"An Introduction to Statistical Learning\" (2nd edition). New York: Springer.\n\nThe teacher will provide slides to the students.","revoked":false,"extensions:recipientProfile":{"@context":"https://openbadgespec.org/extensions/recipientProfile/context.json","type":["Extension","extensions:RecipientProfile"],"name":"Mattia Dotto"}}