BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260717T145245Z UID:c004c7fa-52b3-4762-bb31-b4184583342b DTSTART:20231207T090000Z DTEND:20231208T170000Z DESCRIPTION:# Overview\nStatistics are an integral aspect of scientific res earch\, and in particular of life sciences that heavily rely on quantitati ve methodologies. Among other things\, statistics are an essential tool wh ich allows gaining new insights on the relationships between different bio logical measurements and variables. \n\nMachine learning (ML) also assists in making sense of large and complex datasets and can be very useful in m ining large biological datasets to uncover new insights that can advance t he field of bioinformatics.\n\nThis course was designed to guide participa nts in the exploration of the concepts of statistical modelling\, and at t he same time relate and contrast them with machine learning approaches whe n it comes to both classification and regression.\n\nA particular focus wi ll be given on the evaluation of the relevance of the produced models\, an d their interpretation in order to provide new biological knowledge.\n\n# Audience\nThis course is addressed to life scientists who want to have a b etter understanding of these methods and on how to apply them to their own datasets. \n\n# Learning outcomes\nAt the end of the course\, the partici pants will be able to:\n * perform linear and logistic regressions\, and c ritically evaluate their results\n * describe the general Machine Learning data analysis pipeline\n * implement a classification task and appraise t he resulting model\n * contrast the statistical and Machine Learning appro aches when it comes to regression\, and choose the most appropriate to the ir question.\n\n\n# Prerequisites\n##### Knowledge / competencies\nThe cou rse is targeted to life scientists who are already familiar with the Pytho n programming language and who have basic knowledge on statistics. The com petences and knowledge levels required correspond to those taught in cours es such as: [First Steps with Python in Life Sciences](https://www.sib.swi ss/training/course/20230301_PYTFS)\, [Introduction to statistics with Pyth on](https://www.sib.swiss/training/course/20230620_STATP) and [Introducti on to statistics with R](https://www.sib.swiss/training/course/20230206_ST ATR).\n\n\nBefore applying to this course\, please self assess your Python and statistics skills using the quiz [here.](https://forms.gle/ZpQFyHHwoP QKJSwv7) \n\n\n\n##### Technical\nYou are required to have your own comput er with an internet connection and the following tools installed PRIOR to the course:\nYou are required to have your own computer with an internet c onnection and the following tools installed PRIOR to the course: [tools to be installed](https://github.com/sib-swiss/statistics-and-machine-learnin g-training#pre-requisites).\n\n\n\n# Schedule \n\nDay 1 \n* Warm-up: loadi ng and plotting data with python. \n* Linear modelling: ordinary least squ ares\, from fitting to models comparison\n* Logistic regression and Genera lized Linear Models (GLM): from regression to classification\n\nDay 2 \n* The Machine Learning pipeline and evaluation\n* Machine Learning and class ification: logistic regression classifier and random forests\n* Machine L earning and regression\n\n# Application\n\nThe course is not open yet for registration.\n\nThe registration fees for academics are 200 CHF and 1000 CHF for for-profit companies.\n\nYou will be informed by email of your reg istration confirmation. Upon reception of the confirmation email\, partici pants will be asked to confirm attendance by paying the fees within 5 days .\n\nApplications will close as soon as the maximum capacity is reached. D eadline for free-of-charge cancellation is set to **26/11/2023**. Cancella tion after this date will not be reimbursed. Please note that participatio n in SIB courses is subject to our [general conditions](https://www.sib.sw iss/training/terms-and-conditions).\n\n# Venue and Time\nThis course will be streamed.\n\nThe course will start at 9:00 and end around 17:00 (CET ti me zone). \n\nPrecise information will be provided to the participants in due time.\n\n\n# Additional information\nCoordination: Grégoire Rossier\ , SIB training group\n\nWe will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the course).\n\nYou are welcome to reg ister to the SIB courses mailing list to be informed of all future courses and workshops\, as well as all important deadlines using the form [here]( https://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that par ticipation in SIB courses is subject to our [general conditions](https://w ww.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct). Partic ipants of SIB courses are also required to abide by the same code.\n\nFor more information\, please contact [training@sib.swiss](mailto://training@s ib.swiss). SUMMARY:Statistics and Machine Learning for Life Sciences URL;VALUE=URI:https://www.sib.swiss/training/course/20231207_STAML END:VEVENT END:VCALENDAR