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Modern Machine Learning & AI for Architects

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Course ID:

44144

Time:

Daily seminar
9:00-16:30


Machine Learning and AI suggest a set of algorithms and supporting technologies, which allow companies to automatically extract knowledge and make decision using the data they collect. Mastering these algorithms and technologies enables new business opportunities and competitive advantages. This seminar is planned to provide a broad introduction to the field, presenting the typical steps of Machine Learning and AI projects, common algorithmic methods and relevant technologies. The seminar is suitable to BI and data architects, who need a gentle, yet through introduction to the field. Topics: • Introduction to Machine Learning and AI o Basic terms o Business motivation o Challenges in ML o Examples for ML usage in organizations today • CRISP-DM: the typical steps of Machine Learning / AI projects • Data understanding and preparations • Algorithms: o Supervised Learning o Unsupervised Learning • Models evaluation • Technological aspect of Machine Learning and AI

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