INFOTIV Svenska English HEM/UTBILDNINGAR/MACHINE LEARNING – FROM ZERO TO HERO MACHINE LEARNING – FROM ZERO TO HERO You've already made the first step - data collection. You've gathered lots of it but don't know how to utilise it in order to predict, optimise and control the future. Infotiv has developed a new hands-on course to get you started on your quest for mining value out of your precious data. The data doesn't lie, and you know it. Applying machine learning algorithms to analyse your data enables you to extract complex information otherwise not possible to comprehend. With trained software instead of coded software you can develop truly smart functionality. Let data drive your decisions and you'll be ahead of the curve. Data-driven businesses provide more value to their customers while keeping development costs low. Course description This course aims to give deep knowledge about  Machine Learning (ML): What it is. What it is not. When to apply it. How to apply it. Upon completion of the course, the user should be comfortable in training and applying ML.  The course covers every stage of the Data Science Lifecycle, including verification & validation of ML. Learn how to put Machine Learning into practice and how to verify your Machine Learning solution. Apply ML in practice, both virtually and on embedded target environment. Prerequisites  To get the most from the course basic knowledge in Python as well as in concepts surrounding software development is desired.   Course content  Introduction to AI/ML  Development environment  Selection of algorithm and training   Data management  Verification & Validation of ML functionality  Apply ML in practice, both virtually and on embedded target environment  Risks surrounding the use of ML  Course language The course will be held in english. Course Schedule During the course, the participants will be able to practice on all steps necessary to train, test (verify), integrate (on HW), and validate a machine learning model. The exercises will be split over the two days. The first day covers exercise setting up the workflow and training an initial model and the second day handles testing and deployment. After completing the course, each participant will be allowed to bring home the Raspberry Pi containing their trained and tested model. Click here to see a detailed schedule for the 2 days Course completion  The Infotiv Machine Learning course gives the student the theoretical and practical knowledge in training models. The student will also get basic understanding on the challenges in testing functionality based on ML.  Estimated completion time:  2 days NEXT COURSE DATES The next "Machine Learning – from Zero to Hero" course will take place Infotivs office at Västra Hamngatan 8 in Gothenburg on march 9 and 10 2022 PRICE The price for one (1) person is: SEK 16.500. REGISTRATION Send an email to tomas.sjogren@infotiv.se to either sign up or ask for more details. COURSE LEADERS Martin Karsberg: Competence Leader Test Methodologies. Elias Sonnsjö: Competence Leader Machine Lerning/AI. TOMAS SJÖGREN BUSINESS AREA MANAGER TECHDEV OFFICE GÖTEBORG PHONE: +46 73 351 39 66 E-MAIL: tomas.sjogren@infotiv.se Infotiv Göteborg Phone: +46 (0)31 339 39 00 E-mail: info@infotiv.se Västra Hamngatan 8 411 17 Göteborg, Sweden Infotiv Södertälje Phone: +46 (0)8 300 652 E-mail: info@infotiv.se Sydgatan 1 151 38 Södertälje, Sweden Infotiv Malmö Phone: +46 (0)40 48 08 29 E-mail: info@infotiv.se Jungmansgatan 12 211 19 Malmö, Sweden Personuppgiftspolicy