SKU: 28635461476

Mathematik für Data Scientists

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Mathematik für Data ScientistsNield,Thomas: Mathematik fr Data ScientistsVerlag: dpunkt. VerlagISBN 9783960092155 Neue Ware, Mngelexemplar, Zustand: gut Retourware: wegen minimaler Lagerspuren und Transportschden (wie leichte Kratzer) als Mngelexemplar gekennzeichnet. Text vom Verlag Dieses Buch richtet sich an angehende und fortgeschrittene Data Scientists sowie Programmierer_innen, die sich die mathematischen Grundlagen der Data Science aneignen wollen Besonders gut

Nield,Thomas:
Mathematik für Data Scientists
Verlag: dpunkt.Verlag
ISBN 9783960092155


Neue Ware, Mängelexemplar, Zustand: gut

Retourware: wegen minimaler Lagerspuren und Transportschäden
(wie leichte Kratzer) als Mängelexemplar gekennzeichnet.

Text vom Verlag

Dieses Buch richtet sich an angehende und fortgeschrittene Data Scientists sowie Programmierer_innen, die sich die mathematischen Grundlagen der Data Science aneignen wollen Besonders gut nachvollziehbar durch minimale mathematische Fachterminologie, praxisnahe Beispiele und zahlreiche Abbildungen Mit Übungen und Lösungen, um das Gelernte zu vertiefen Für Studium und Beruf
Um als Data Scientist erfolgreich zu sein, müssen Sie über ein solides mathematisches Grundwissen verfügen. Dieses Buch bietet einen leicht verständlichen Überblick über die Mathematik, die Sie in der Data Science benötigen. Thomas Nield führt Sie Schritt für Schritt durch Bereiche wie Infinitesimalrechnung, Wahrscheinlichkeit, lineare Algebra, Statistik und Hypothesentests und zeigt Ihnen, wie diese Mathe-Basics beispielsweise in der linearen und logistischen Regression und in neuronalen Netzen eingesetzt werden. Zusätzlich erhalten Sie Einblicke in den aktuellen Stand der Data Science und erfahren, wie Sie dieses Wissen für Ihre Karriere als Data Scientist nutzen.
Verwenden Sie Python-Code und Bibliotheken wie SymPy, NumPy und scikit-learn, um grundlegende mathematische Konzepte wie Infinitesimalrechnung, lineare Algebra, Statistik und maschinelles Lernen zu erkunden Verstehen Sie Techniken wie lineare und logistische Regression und neuronale Netze durch gut nachvollziehbare Erklärungen und ein Minimum an mathematischer Terminologie Wenden Sie deskriptive Statistik und Hypothesentests auf einen Datensatz an, um p-Werte und statistische Signifikanz zu interpretieren Manipulieren Sie Vektoren und Matrizen und führen Sie Matrixzerlegung durch Vertiefen Sie Ihre Kenntnisse in Infinitesimal- und Wahrscheinlichkeitsrechnung, Statistik und linearer Algebra und wenden Sie sie auf Regressionsmodelle einschließlich neuronaler Netze an Erfahren Sie, wie Sie Ihre Kenntnisse und Fähigkeiten in der Datenanalyse optimieren und gängige Fehler vermeiden, um auf dem Data-Science-Arbeitsmarkt zu überzeugen

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Natrona Heights, US
★★★★★ 5
Good start to a series
Format: Kindle
I delayed reading the series for reasons I don’t remember. But my TBR list is huge so I thought I’d take a shot of this and I was pleasantly surprised. I didn’t think the blurb about it was anything special. But it was a very good book. It took some interesting twists and turns. I am so glad the second book is already out. Because I would not have waited patiently. Very slow burn but good storyline. 🔥🔥/5
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Reviewed in the United States on January 3, 2025
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Jammie Clark
Carnegie, US
★★★★★ 4
A good read
Format: Kindle
Multiple points of view. 3 Alpha men and an Omega male. She is a Beta in training for a new program placing betas in Alpha/Omega packs. Mila is only doing the program for the money to take care of her dad. She wasn't expecting to fall for a pack but when she sees this packs Omega she is done for. There is just something about him. His Alphas are good looking as well. Too bad she is hiding a secret and their government is acting shady. I liked it and can't wait to see where their story goes.
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Reviewed in the United States on November 14, 2023
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Bri Hires
Port Orchard, US
★★★★★ 3
Slightly repetitive but I did love some things
Format: Kindle
I love this type of story. And omegaverse is one of my all time favorite genres. But there are a few things that pulled me out of my enjoyment while I was reading. It was repetitive at times as well as struggled with telling not showing. So we didn’t always feel like we were experiencing things with the main character. There were also some plot holes but they may still be answered in part 2. Now this isn’t to be said I didn’t enjoy parts of the story. I loved the almost instant love between Mila and Oliver. And how he started changing around her.
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Reviewed in the United States on February 15, 2024
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Kimberly G
Cuba, US
★★★★★ 5
delightful read
Format: Kindle
What a delightful read. The characters are awesome, the plot was so good, I loved it. I was intrigued and it kept me wanting more. Told in multiple pov, the book sucks you in and doesn’t let go. I cannot wait to read the next book.
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Reviewed in the United States on January 30, 2025
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Kimberly B
San Leandro, US
★★★★★ 4
not bad
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I loved the plot of this book. The characters just didn’t have a lot of depth. The connections and “love” just weren’t communicated very well in the writing. The author didn’t write the sweet psycho trope very well at all either. Lachlan was just a mess of a character.
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Reviewed in the United States on November 17, 2023

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