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{ "item_title" : "Robots How Raise Traveller", "item_author" : [" John Lok "], "item_description" : " This book researches how to apply big data gathering tool to predict future travel consumer behavior from past travel consumer data. This book first part aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assist businesses to predict why and when and how consumer behavior changes in entertainment industry, e.g. cruise travel and vehicle leisure activities. If AI, big data gathering tool can be applied to predict such as leisure market consumption behavior, it is possible that future big data gathering tool can be used to gather past travel consumer behavioral data in order to conclude more accurate information to predict future travel behavioral need changes.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/888/569/9798885698979_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Robots How Raise Traveller|John Lok

Robots How Raise Traveller : Entertainment Desire

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Overview

This book researches how to apply big data gathering tool to predict future travel consumer behavior from past travel consumer data. This book first part aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assist businesses to predict why and when and how consumer behavior changes in entertainment industry, e.g. cruise travel and vehicle leisure activities. If AI, big data gathering tool can be applied to predict such as leisure market consumption behavior, it is possible that future big data gathering tool can be used to gather past travel consumer behavioral data in order to conclude more accurate information to predict future travel behavioral need changes.

This item is Non-Returnable

Details

  • ISBN-13: 9798885698979
  • ISBN-10: 9798885698979
  • Publisher: Notion Press Media Pvt Ltd
  • Publish Date: January 2022
  • Dimensions: 9 x 6 x 0.35 inches
  • Shipping Weight: 0.5 pounds
  • Page Count: 150

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