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EVOLUTIONARY-COMPUTING  December 2022

EVOLUTIONARY-COMPUTING December 2022

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Subject:

Live online course: Introduction to Machine Learning with R, Feb 7th-17th, 2023

From:

Juan Vicente Berto Mengual <[log in to unmask]>

Reply-To:

[log in to unmask]

Date:

Mon, 19 Dec 2022 15:47:08 +0100

Content-Type:

text/plain

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Parts/Attachments

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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

Under the provisions of current regulations on the protection of 
personal data, Regulation (EU) 2016/679 of 27 April 2016 (GDPR), we 
inform you that personal data and email address, collected from the data 
subject will be used by TRANSMITTING SCIENCE SL to manage communications 
through email and properly manage the professional relationship with 
you. The data are obtained based on a contractual relationship or the 
legitimate interest of the Responsible, likewise the data will be kept 
as long as there is a mutual interest for it. The data will not be 
communicated to third parties, except for legal obligations. We inform 
you that you can request detailed information on the processing as well 
as exercise your rights of access, rectification, portability and 
deletion of your data and those of limitation and opposition to its 
treatment by contacting Calle Gardenia, 2 Urb. Can Claramunt de Piera 
CP: 08784 (Barcelona) or sending an email to 
[log in to unmask] or 
http://transmittingscience.com/additional-terms. If you consider that 
the processing does not comply with current legislation, you can 
complain with the supervisory authority at www. aepd.es .
Confidentiality. - The content of this communication, as well as that of 
all the attached documentation, is confidential and is addressed to the 
addressee. If you are not the recipient, we request that you indicate 
this to us and do not communicate its contents to third parties, 
proceeding to its destruction.
  Disclaimer of liability. - The sending of this communication does not 
imply any obligation on the part of the sender to control the absence of 
viruses, worms, Trojan horses and/or any other harmful computer program, 
and it corresponds to the recipient to have the necessary hardware and 
software tools to guarantee both the security of its information system 
and the detection and elimination of harmful computer programs. 
TRANSMITTING SCIENCE SL shall not be liable.

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