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| author | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-01 14:15:37 +0200 |
|---|---|---|
| committer | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-01 14:15:37 +0200 |
| commit | f771af4e69db4b8937f64fbf4024eb518a7cc230 (patch) | |
| tree | 320be41b46d66def4f27ad7611e1ebfd51aa3386 /content/background.tex | |
| parent | 91ca6b9411a1675f5735a86ac658833dc78cc382 (diff) | |
feat: added some notes
Diffstat (limited to 'content/background.tex')
| -rw-r--r-- | content/background.tex | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/content/background.tex b/content/background.tex index 55cfe16..85f3c57 100644 --- a/content/background.tex +++ b/content/background.tex @@ -1,4 +1,11 @@ \chapter{Background}\label{s:background} + +\section{Datacenters}\label{ss:datacenters} +Explain the high risk phenomena that occur in datacenters, which includes failures. +\subsection{Failures} + +\section{Digital Twinning}\label{ss:digital-twinning} + Predictive modelling uses statistics to predict outcomes. When deployed commercially, for example in datacenters, predictive modelling is often referred to as predictive analytics~\cite{Wikipedia:PredictiveModelling}. Almost any statistical model can be used for prediction purposes, but nowadays predictive analysis is synonymous with machine learning. |