Registration is open for Transmitting Science course “Introduction to Machine Learning with R”

AAPA members are entitled a 20 % discount on the fee.

Format: Live Online (synchronous). Places are limited to 15 participants.

Dates and schedule: 14:00 to 18:00 (Madrid time zone). Online live sessions February 7th, 9th, 13th, 15th and 17th; 14:00 to 18:00.

Instructor: Dr. Manuel Domínguez-Rodrigo (Complutense University, Spain)

More information and registration: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-to-machine-learning-with-r/ Course Overview This course introduces students to the most advanced tools in Artificial Intelligence (AI); machine learning methods that make data mining and data processing a fascinating topic. Obtaining and analyzing data is currently a very well developed field in computer science. Finding patterns in these data, or processing this information, is less straightforward and is sometimes subjected to biases. Data Mining has recently given way to Process Mining, in which powerful statistical and software tools are used in combination to correctly detect patterns and make reliable classifications of customers or products and make accurate predictions. These tools provide the most advanced computing technique for accurate classification and prediction. Obtaining data currently is a very developed field in computer science. Finding patterns in these data, or processing this information, is less straightforward and is sometimes subjected to biases. Data Mining has recently given way to Process Mining, in which powerful statistical and software tools are used in combination to correctly detect patterns and make reliable classifications and make accurate predictions. This course offers a practical introduction to Machine Learning. From class One, students will learn the use of these information-managing tools on their computers. After its completion, students will be prepared to understand the patterns hidden in any database, regardless of its size and complexity. This course offers a practical introduction to Process and Data Mining oriented to all sciences. It is eminently practical. From class One, students will have to learn the use of these information-managing tools on their computers. After its completion, students will be prepared to understand the patterns hidden in any database, regardless of its size and complexity.

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