--dEL.R.kakadudu
ududakak.R.LEd
.ba.hr.rs#LEd
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R.prof.IT.terraX
terraX
prof.
R.IT
#DataScienceDuduSoso#
KapAziTäT.ein.es HyPoT+he.sen.ra.um.es
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"In der rechnergestützten Lerntheorie misst die nach Hans Rademacher benannte Rademacher-Komplexität den Reichtum einer Klasse von Mengen in Bezug auf eine Wahrscheinlichkeitsverteilung. Das Konzept kann auch auf realwertige Funktionen erweitert werden. Die Vapnik-Chervonenkis-Dimension ist ein Konzept aus der statistischen Lerntheorie, das die Kapzität eines Hypothesenraumes, d.h. die Menge aller möglichen Modelle misst. Sie quantifiziert die Fähigkeit eines Modells, verschiedene Datensätze zu "zertrümmern", was bedeutet, dass das Modell alle möglichen Labeländerungen für eine Menge von Datenpunkten korrekt erkennen kann. Die VC-Dimension ist ein Maß für die Komplexität eines Modells und hilft zu verstehen, wie gut es generalisieren kann, d.h. wie gut es auf neuen, ungesehenen Daten funktioniert."
--R.G.Bund :::: https://de.wikipedia.org/wiki/Radeberger_Gruppe
cKonvVert: RAR 2 ROHR 2 ROR 2 ROP 2 POP
LukA Dončić((((foTografija2021.))))je siN SAše DoNčićA #SFRJ košarka
komandant špecijalnih kreefta = k.š.k.
Netzwerk- und Informationstheorie
Modern = M.
SignalProcessingFor = S.P.F.
ComMuniCATionSEnGinEErs = C.M.C.A.T.S.E.G.E.E.
Moderne = M.
SignalVerarbeitungFür = S.V.F.
DieKommunikationSTechNikeRNAna = D.K.S.T.E.R.N.A.
The learning content includes:
1. Introduction and outline of the course
2. Metric spaces; Vector spaces; Normed vector spaces and Banach spaces; Inner products and real Hilbert spaces
3. Basics in convex analysis: convex sets, projections and relaxed projections, the fundamental theory of POCS, parallel projection methods, applications (interference reduction in communication systems, acoustic source localization with wireless sensor networks, estimation tasks in massive MIMO systems, kernel machines in sensor networks)
4. Selected topics in quasi-nonexpansive operator theory. Mann-type iterative algorithms.
5. Splitting methods for convex optimization (forward-backward splitting methods, proximal/projected gradient methods, etc.)
6. Model of learning, loss functions, and losses/risks.
7. Stochastic inequalities and concentration of measure
8. Uniform laws of large numbers, Rademacher complexity, and learning via uniform convergence.
9. Vapnik-Chervonenkis dimension and bounds on sample complexity
10. Support vector machines and kernel methods.
11. Stochastic subgradient algorithms.
HeuteMal
im universumNEBENANrumbummeln....
"..., The Soto Dolmens are one of the most extraordinary megalithic monuments in Iberia. Located in Trigueros, Andalusia, this ancient site was built between 3000 and 2500 BC, during the Neolithic to Bronze Age. The dolmens are covered by a 60-meter-high earthen mound, capped by a 65-meter-high stone circle, a striking prehistoric landmark. At their heart is a 21-meter-long passageway, which leads to an inner chamber, all formed from massive slabs of granite, limestone, and sandstone. Step inside, and you walk through a chamber shaped by hand over 4,000 years ago—part tomb, part temple, and part celestial mystery. The alignment of the structures may reflect ritual, astronomical, or ancestral significance, echoing ancient beliefs that are still not fully understood. The Soto Dolmens stand today as a powerful reminder of how early communities built not just for shelter but for meaning."--The Xx Angels https://youtu.be/_nW5AF0m9Zw
Laibach (BAND/german for Ljubljana)
"STRANGE FRUIT"(Song@Mute2024)
Directed by Urška Žnidaršič
DOP : Sašo Štih
Steady Cam by Rok Misson
Editing by Jaka Teršek
Design by Blaž Rojs
Lights by Anže Trstenjak (Blackout Lighting)
Released by Mute



S.I.V. = Secret Intelligence Vati.
"KUmaH Vatti KAHN :D"--D.iezebrAgUT

