CODE 86798 ACADEMIC YEAR 2021/2022 CREDITS 6 cfu anno 1 COMPUTER ENGINEERING 11160 (LM-32) - GENOVA 6 cfu anno 2 COMPUTER ENGINEERING 11160 (LM-32) - GENOVA 6 cfu anno 1 COMPUTER SCIENCE 10852 (LM-18) - GENOVA 6 cfu anno 3 STATISTICA MATEM. E TRATTAM. INFORMATICO DEI DATI 8766 (L-35) - GENOVA 3 cfu anno 2 ROBOTICS ENGINEERING 10635 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW In the information age any system or device generates some form of data for diagnostic purposes or analysis. he course details the techniques for analyzing data in order to extract useful information and knowledge for decision making. AIMS AND CONTENT LEARNING OUTCOMES Students will be provided with advanced skills related to machine learning and data analysis. Students will learn insights on machine learning and data analysis methodologies and a series of real world applications. AIMS AND LEARNING OUTCOMES The student will be able to apply the acquired skills to a case study by deriving the model of the phenomenon that generated the data under analysis. PREREQUISITES Coding (Matlab/Python/R), linear algebra, probability and statistics. TEACHING METHODS The course consists of lectures and practical lab sessions using Matlab/Python/R SYLLABUS/CONTENT Statistical inference Supervised, Semisupervised, and Unsupervised Learning Statistical Learning Theory Shallow Machine Learning Algorithms (examples of coding in Matlab/Python/R) Deep Machine Learning Algorithms (examples of coding in Matlab/Python/R) Model Selection and Error Estimation RECOMMENDED READING/BIBLIOGRAPHY C. C. Aggarwal "Data Mining - The textbook" 2015 T. Hastie, R.Tibshirani, J.Friedman "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" 2009. S. Shalev-Shwartz, S. Ben-David "Understanding machine learning: From theory to algorithms" 2014 I. Goodfellow, Y. Bengio, A. Courville "Deep learning" 2016 L. Oneto "Model Selection and Error Estimation in a Nutshell" 2020 TEACHERS AND EXAM BOARD LUCA ONETO Ricevimento: By appointment, scheduled by email. Exam Board LUCA ONETO (President) MARCO MARATEA DAVIDE ANGUITA (President Substitute) LESSONS LESSONS START https://courses.unige.it/11160/p/students-timetable Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral by appointment ASSESSMENT METHODS The student will solve a real problem at will by applying the techniques learned during the course. Exam schedule Data appello Orario Luogo Degree type Note 07/01/2022 08:00 GENOVA Esame su appuntamento 07/01/2022 08:00 GENOVA Orale 07/02/2022 08:00 GENOVA Esame su appuntamento 07/02/2022 08:00 GENOVA Orale 10/02/2022 09:00 GENOVA Esame su appuntamento 31/05/2022 08:00 GENOVA Esame su appuntamento 31/05/2022 08:00 GENOVA Orale 17/06/2022 08:00 GENOVA Esame su appuntamento 17/06/2022 08:00 GENOVA Orale 01/07/2022 08:00 GENOVA Esame su appuntamento 01/07/2022 08:00 GENOVA Orale 29/07/2022 09:00 GENOVA Esame su appuntamento 31/08/2022 08:00 GENOVA Esame su appuntamento 31/08/2022 08:00 GENOVA Orale 15/09/2022 09:00 GENOVA Esame su appuntamento
