{
"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
PRE-ORDER NOW:
local_shippingShip to Me
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
Customers Also Bought
Details
- ISBN-13: 9781041229766
- ISBN-10: 1041229763
- Publisher: CRC Press
- Publish Date: November 2026
- Page Count: 208
Related Categories
