Introduction to Applied Machine Learning MOOC Created byMatteo Mirigliano|Updated27 July 2024OnlineThe MOOC 'Introduction to Applied Machine Learning' has been designed for professionals who have heard of machine learning and want to use it for automation and data analysis.By following this course you will learn how to define the problem and prepare the data for a machine learning project in this course, regardless of your field of study—finance, medical, engineering, business, or another one.Participants in this MOOC will be able to precisely specify a machine learning issue utilising two methodologies at the conclusion of the course. At the end of the course you will learn how to go over the data resources that are accessible and spot possible ML applications, and you will discover how to translate a business demand into a machine learning application. Also, you will learn how to get the data ready for applications of machine learning that work well.This is the first course of the Applied Machine Learning Specialization that is being organised and designed by the Alberta Machine Intelligence Institute.Training Offer DetailsWebsite linkIntroduction to Applied Machine Learning MOOCDigital technology / specialisationArtificial IntelligenceMachine LearningTraining opportunitiesMOOCLearning EffortPart time lightSelf-pacedYesDuration Time1 WeeksDigital skill levelIntermediateProvider OrganisationAlberta Machine Intelligence Institute (Amii)Geographic scope - CountryAustriaBelgiumBulgariaCyprusRomaniaSloveniaCroatiaCzech republicDenmarkEstoniaFinlandFranceGermanyGreeceHungaryItalyIrelandMaltaLatviaLithuaniaLuxembourgNetherlandsPortugalPolandSwedenSpainSlovakiaAlbaniaBelarusBosnia and HerzegovinaCanadaIcelandIsraelJapanKosovoMontenegroMoroccoNorth MacedoniaNorwaySerbiaSwitzerlandSouth KoreaRussiaTunisiaTurkeyUkraineUnited KingdomUSAShow moreShow lessTarget languageEnglishField of education and trainingInformation and Communication Technologies (ICTs) not further definedIs this course freeYesPrerequisitesNoUpcoming courseNo Share this page Log in to comment