Dear colleagues,
Registration is open for Transmitting Science course “Introduction to
Machine Learning with R”
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 data base, regardless of its size
and complexity.
Best wishes
Juanvi
--
Juan Vicente Bertó Mengual
Administration
Transmitting Science
www.transmittingscience.com
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