
BOOKS - Applied Machine Learning Using mlr3 in R

Applied Machine Learning Using mlr3 in R
Author: Bernd Bischl, Raphael Sonabend, Lars Kotthoff
Year: 2024
Pages: 356
Format: PDF
File size: 37.0 MB
Language: ENG

Year: 2024
Pages: 356
Format: PDF
File size: 37.0 MB
Language: ENG

Applied Machine Learning Using mlr3 in R The world we live in today is vastly different from the one our parents or grandparents grew up in. Technology has advanced at an incredible pace, and it continues to evolve at an exponential rate. This evolution has brought about tremendous benefits, but it also presents challenges that we must be prepared to face. One such challenge is the rapid obsolescence of skills and knowledge, which can leave us behind if we don't keep up. To stay relevant, we need to develop a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for our survival and the survival of humanity. In this article, we will explore how applied machine learning using mlr3 in R can help us meet this challenge. We will delve into the process of technology evolution and its impact on society, and discuss why it is essential to understand this process to ensure our survival and the unification of people in a warring state. Technology Evolution and Its Impact on Society Technology has been advancing rapidly over the past few decades, transforming every aspect of our lives.
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