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02093aam a2200325 i 4500 001 E6BB2FEE084B11EFBCAD05DA2DECA4DB 003 SILO 005 20240502011849 008 230502t20242024njua b 001 0 eng c 010 $a 2023020832 020 $a 1119747872 020 $a 9781119747871 035 $a (OCoLC)1399569660 040 $a WaSeSS/DLC $b eng $e rda $c DLC $d UKMGB $d BDX $d OCLCF $d OCLCQ $d GZM $d OCLCO $d SILO 042 $a pcc 050 00 $a QE48.8 L54 2024 100 1 $a Liemohn, Michael W., $e author. 245 10 $a Data analysis for the geosciences : $b essentials of uncertainty, comparison, and visualization / $c Michael W. Liemohn. 264 1 $a Hoboken, NJ : $b Wiley : $c 2024. 300 $a xxiii, 424 pages : $b illustrations (some color) ; $c 26 cm. 490 1 $a Advanced textbook series ; $v 5 504 $a Includes bibliographical references and index. 520 $a "Uncertainty in Geosciences covers more advanced analysis techniques, including visualization, periodicity, model uncertainty quantification, machine learning, and when these are all applicable towards the concept of uncertainty, the scientific method, and how uncertainty plays a role in discovery. This book provides the precursor knowledge to understanding machine learning techniques and takes a computational approach. While it does not explicitly cover machine learning, it provides a critical toolkit for students to fully understand, appreciate, and optimally use the latest machine learning advancements in data science. The long-range goal is to improve the quality of researcher methodology in scientific research."-- $c Provided by publisher. 650 0 $a Earth sciences $x Data processing. 776 08 $i Online version: $a Liemohn, Michael W. $t Data analysis for the geosciences $d Hoboken, NJ : Wiley-American Geophysical Union, 2023 $z 9781119747888 $w (DLC) 2023020833 830 0 $a Advanced textbook series (American Geophysical Union) ; $v 5. 941 $a 1 952 $l USUX851 $d 20240717023742.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=E6BB2FEE084B11EFBCAD05DA2DECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search