Modern Deep Learning for Tabular Data

Language: English

Published by Apress, Apress Dez 2022, 2022

148428691X / 9781484286913

  • Softcover
  • New
See all details

Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

5-star seller

AbeBooks seller since January 23, 2017

Softcover

Condition: New

US$ 73.36

US$ 66.57 shipping 
Ships from Germany to U.S.A.

Quantity: 1 available

Add to basket
Free 30-day returns

Item description from seller

This item is printed on demand - Print on Demand Titel. Neuware -Deep learning is one of the most powerful tools in the modern artificial intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data - an incredibly ubiquitous form of structured data.Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs - Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks - through both their 'default' usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability. Each chapter comes with extensive visualization, code, and relevant research coverage.Modern Deep Learning for Tabular Data is one of the first of its kind - a wide exploration of deep learning theory and applications to tabular data, integrating and documenting novel methods and techniques in the field. This book provides a strong conceptual and theoretical toolkit to approach challenging tabular data problems.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 872 pp. Englisch.…

Seller Inventory # 9781484286913

Title
Modern Deep Learning for Tabular Data
Author
Andre Ye
Publisher
Apress, Apress Dez 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
148428691X
ISBN 13
9781484286913
Item weight
1,605 grams
Dimensions
254x178x47 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

Shipping rates from Germany to U.S.A.

Item60 to 60 business days60 to 60 business days
First itemUS$ 66.57US$ 83.21
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

  • Visa
  • Mastercard
  • American Express
  • Apple Pay
  • Google Pay
  • Check
  • Paypal

Store description

Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur

Specialty

Modernes Antiquariat - Bücher von 1960 bis heute

Seller's business information

buchversandmimpf2000

Germany