Machine Learning and AI for Research in R and Python - livestream seminars

Hi everyone

Instats is pleased to present two upcoming seminars introducing machine
learning and AI for researchers in R and Python
*:*

Introduction to Machine Learning and AI for Research in R
<https://instats.org/seminar/introduction-to-machine-learning-and-ai-9279>
(Sept 28 - 29)

Introduction to Machine Learning and AI for Research in Python
<https://instats.org/seminar/introduction-to-machine-learning-and-ai-8169>
(Oct 30 - 31)

These seminars are being led by professor Giovanni Cerulli who has
extensive experience teaching this material, and will follow along with the
core topics in his new book *Fundamentals of Supervised Machine Learning:
With Applications in Python, R, and Stata*
<https://www.amazon.com/Fundamentals-Supervised-Machine-Learning-Applications/dp/3031413369>*.
*Both seminars provide a comprehensive introduction to Machine Learning and
Artificial Intelligence methods for the social, economic, and health
sciences using R and Python. After introducing the subject, the seminar
will cover the following methods: (i) model selection and regularization
(Lasso, Ridge, Elastic-net); (ii) discriminant analysis and
nearest-neighbor classification; and (iii) artificial neural networks. The
course will offer various instructional examples using real datasets in R
and Python. An Instats certificate of completion is provided at the end of
the seminar, and 2 ECTS equivalent points are offered.


Best wishes and we hope to see you there!

Michael Zyphur
Director
Institute for Statistical and Data Science
<http://goog_711907693>*instats.org* <http://instats.org>

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