Praktische Statistik für Data Scientists
SKU: 73952926822

Praktische Statistik für Data Scientists

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Praktische Statistik für Data ScientistsBruce, Peter , Bruce, Andrew , Gedeck, Peter ISBN: 9783960091530 50+ essenzielle Konzepte mit R und Python, Kartoniertbersetzung: Fraa, Marcus, bersetzung der 2. AuflageDeutsch 2021 dpunkt, 358 S. Neue Ware, Mngelexemplar, LPA (Ladenpreisaufgehoben), Zustand: gut Das Buch verbindet ntzliche statistische Prinzipien mit der heutigen Praxis der DatenanalyseEs ermglicht Data Scientists, ihr Wissen ber Statistik auf ein neues Level zu bringenAls bersetzung

Bruce, Peter , Bruce, Andrew , Gedeck, Peter

ISBN: 9783960091530

50+ essenzielle Konzepte mit R und Python, Kartoniert

Übersetzung: Fraaß, Marcus, Übersetzung der 2. Auflage
Deutsch 2021 - dpunkt, 358 S.

Neue Ware, Mängelexemplar, LPA (Ladenpreisaufgehoben), Zustand: gut

Das Buch verbindet nützliche statistische Prinzipien mit der heutigen Praxis der DatenanalyseEs ermöglicht Data Scientists, ihr Wissen über Statistik auf ein neues Level zu bringenAls Übersetzung der 2. Auflage des US-Bestsellers enthält es Beispiele in Python und R


Statistische Methoden sind ein zentraler Bestandteil der Arbeit mit Daten, doch nur wenige Data Scientists haben eine formale statistische Ausbildung. In Kursen und Büchern werden die Grundlagen der Statistik allerdings selten aus der Sicht von Data Scientists behandelt. Dieses praxisorientierte Handbuch erklärt Ihnen anhand zahlreicher Beispiele in Python und R, wie Sie verschiedene statistische Methoden speziell in den Datenwissenschaften anwenden.

Das Buch erläutert, welche statistischen Konzepte für die Datenwissenschaften besonders relevant sind, und zeigt Ihnen auch, wie Sie den falschen Gebrauch von statistischen Verfahren vermeiden. Wenn Sie mit R oder Python vertraut sind, ermöglicht Ihnen diese gut lesbare Referenz ein tieferes Verständnis Ihrer Daten und Sie werden Ihr Statistikwissen für die Praxis deutlich ausbauen.

In diesem Buch erfahren Sie:
warum die explorative Datenanalyse ein wichtiger vorbereitender Arbeitsschritt in der Datenwissenschaft istwie Zufallsstichproben Verzerrungen reduzieren und einen qualitativ hochwertigeren Datensatz liefernwie Sie mit den Prinzipien des experimentellen Designs eindeutige Antworten auf Ihre Forschungsfragen erhaltenwie Sie eine Regression verwenden, um Prognosen zu treffen oder Anomalien zu erkennenauf welche Weise statistische Methoden aus dem Bereich des Machine Learning es ermöglichen, aus Daten zu lernenwie Sie Unsupervised Learning nutzen, um Erkenntnisse aus ungelabelten Daten zu gewinnen.

Text vom Verlag

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SKU: 73952926822

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Tv stand
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It’s really nice. Fits perfectly for my tv. But I should have measured the length. . It is shorter then I thought
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The TV stand is very simple to assemble and most people should be able to complete it in a little while, as several steps may require a second person. The unit itself is very sturdy and a little larger than I expected. The sliding "door" does require a little force to move, but furniture wax should do the trick nicely.
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Beautiful quality made tv stand.
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Beautiful TV stand. Easy to assemble. I took a chance on this stand matching the new end tables I got from a different store and manufacturer. They match perfectly. I couldn't be happier with the color of the wood, the quality construction and minimalist clean look. It looks great in my living room.
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I haven't assembled this yet but I'm really looking forward to using it as a nightstand - the style looks really sleek and modern and it seems like it'll fit perfectly in a small space. It's worth noting that it's made of particle board rather than solid wood, which is pretty standard at this price point, so just go in with that expectation. The design looks really clean and the storage shelf underneath is a practical bonus. Hoping it holds up well over time but based on first impressions and the overall look, I think it's going to be a really nice and affordable addition to the bedroom!
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Decent looking but not very sturdy
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This table looks pretty nice once it is fully assembled and I appreciated that all the parts were clearly labeled. There were no missing parts, and in fact there were some extras. That made the instructions easier to follow and helped speed things up. From unpacking everything to finishing assembly it took me around 30 minutes. There are a few quality issues though. The black finish feels very thin and started chipping around the screws while I was tightening them down. It does not seem like it will hold up very well over time if it already shows wear during assembly. The biggest issue is the stability. Even after tightening everything, the table still feels a little shaky. The set screws near the bottom base pieces do not stay tight for very long and kept loosening while I was putting it together. I assembled it by myself and the legs kept shifting and falling over because those connections would not stay secure. This is definitely easier if you have another person helping. The packaging also could have been better. The box had a lot of particle board dust and debris inside, so unpacking everything was a bit messy. The item description says it can hold up to 66 pounds, but after putting it together I personally would not trust it with anywhere near that much weight. I originally planned to use it for a small aquarium that weighs around 20 pounds, and even that made me uncomfortable once I saw how flimsy the table felt assembled. I think it is better suited for lightweight items and I'd only store something like a couple of books or a lightweight lamp or a couple of picture frames. Overall it is not terrible and it does look reasonably attractive, but the build quality does not really match the current fifty dollar price in my opinion. It should be priced lower. It works for light decorative use, but I would not expect anything especially sturdy or long lasting.
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Reviewed in the United States on May 26, 2026

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