menu
{ "item_title" : "Machine Learning Methods for Scientific Data Compression", "item_author" : [" Xiao Li", "Jaemoon Lee", "Tania Banerjee "], "item_description" : "This groundbreaking book delivers an essential exploration into the rapidly evolving field of data reduction for scientific applications. It introduces novel machine learning approaches that are all designed to achieve unprecedented compression ratios while rigorously guaranteeing the accuracy of both primary data and quantities of interest. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/04/122/976/1041229763_b.jpg", "price_data" : { "retail_price" : "160.00", "online_price" : "160.00", "our_price" : "160.00", "club_price" : "160.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning Methods for Scientific Data Compression|Xiao Li

Machine Learning Methods for Scientific Data Compression

PRE-ORDER NOW:
local_shippingShip to Me
Preorder. This item will be available on November 25, 2026 .
FREE Shipping for Club Members help

Overview

This groundbreaking book delivers an essential exploration into the rapidly evolving field of data reduction for scientific applications. It introduces novel machine learning approaches that are all designed to achieve unprecedented compression ratios while rigorously guaranteeing the accuracy of both primary data and quantities of interest.

This item is Non-Returnable

Details

  • ISBN-13: 9781041229766
  • ISBN-10: 1041229763
  • Publisher: CRC Press
  • Publish Date: November 2026
  • Page Count: 208

Related Categories

You May Also Like...

    1

BAM Customer Reviews