menu
{ "item_title" : "Entropy in Real-World Datasets and Its Impact on Machine Learning", "item_author" : [" Jan Kozak", "Przemyslaw Juszczuk "], "item_description" : "The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel characteristics, stock index, sports data, fake news data, and more. However, it should be noted that the reprint also contains a lot of information on new developments in machine learning, new algorithms, algorithm modifications, and a new measure of classification quality assessment that also takes into account the preferences of the decision maker.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/657/848/303657848X_b.jpg", "price_data" : { "retail_price" : "88.92", "online_price" : "88.92", "our_price" : "88.92", "club_price" : "88.92", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Entropy in Real-World Datasets and Its Impact on Machine Learning|Jan Kozak

Entropy in Real-World Datasets and Its Impact on Machine Learning

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel characteristics, stock index, sports data, fake news data, and more. However, it should be noted that the reprint also contains a lot of information on new developments in machine learning, new algorithms, algorithm modifications, and a new measure of classification quality assessment that also takes into account the preferences of the decision maker.

Details

  • ISBN-13: 9783036578484
  • ISBN-10: 303657848X
  • Publisher: Mdpi AG
  • Publish Date: June 2023
  • Dimensions: 9.61 x 6.69 x 0.88 inches
  • Shipping Weight: 1.76 pounds
  • Page Count: 278

Related Categories

You May Also Like...

    1

BAM Customer Reviews