Hurtig levering
Fremragende Trustpilot
Op til 20% Rabat på nye medlemsordrer
Kurv
Machine Learning for Subsurface Characterization
SPAR
kr 275
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.
Eksklusiv medlemspris 917 kr
Medlemspris 945 kr
Eksklusiv medlemspris og medlemspris er kun for medlemmer. Du bliver automatisk medlem når du køber til eksklusiv medlemspris eller medlemspris. Få 7 dages gratis medlemskab (herefter automatisk 89 kr/30 dage). Læs mere om fordelene
Gratis fragt
23 - 25 hverdage
10 kr
Lavt pakkegebyr
Bogen er desværre udsolgt fra forlaget - se andre bøger af samme genre her
Normalpris 1.192 kr
Fragt: 59 kr
23 - 25 hverdage
20 kr
Pakkegebyr
Bogen er desværre udsolgt fra forlaget - se andre bøger af samme genre her
Spar 275 kr
Se vores konkurrenters priser her
God 15.838 anmeldelser på
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.
MEDLEMSFORDELE
GRATIS FRAGT
SPAR OP TIL 90%
Andre har også købt
BOG (HÆFTET)
Eksklusiv medlemspris kr 189

kr 280
Normalpris
kr 198
Medlemspris
SPAR
kr 91
BOG (INDBUNDET)
Eksklusiv medlemspris kr 380

kr 499
Normalpris
kr 392
Medlemspris
SPAR
kr 119
BOG (INDBUNDET)
Eksklusiv medlemspris kr 220

kr 320
Normalpris
kr 230
Medlemspris
SPAR
kr 100
BOG (INDBUNDET)
Eksklusiv medlemspris kr 919

kr 1.499
Normalpris
kr 977
Medlemspris
SPAR
kr 580
BOG (INDBUNDET)
Eksklusiv medlemspris kr 183

kr 270
Normalpris
kr 192
Medlemspris
SPAR
kr 87
BOG (INDBUNDET)
Eksklusiv medlemspris kr 208

kr 299
Normalpris
kr 217
Medlemspris
SPAR
kr 91
BOG (INDBUNDET)
Eksklusiv medlemspris kr 214

kr 320
Normalpris
kr 225
Medlemspris
SPAR
kr 106
BOG (INDBUNDET)
Eksklusiv medlemspris kr 329

kr 499
Normalpris
kr 346
Medlemspris
SPAR
kr 170
BOG (PAPERBACK)
Eksklusiv medlemspris kr 166

kr 201
Normalpris
kr 170
Medlemspris
SPAR
kr 35
BOG (INDBUNDET)
Eksklusiv medlemspris kr 239

kr 329
Normalpris
kr 248
Medlemspris
SPAR
kr 90
BOG (HÆFTET)
Eksklusiv medlemspris kr 191

kr 269
Normalpris
kr 199
Medlemspris
SPAR
kr 78
BOG (INDBUNDET)
Eksklusiv medlemspris kr 183

kr 270
Normalpris
kr 192
Medlemspris
SPAR
kr 87
BOG (PAPERBACK)
Eksklusiv medlemspris kr 106

kr 140
Normalpris
kr 109
Medlemspris
SPAR
kr 34
BOG (INDBUNDET)
Eksklusiv medlemspris kr 203

kr 300
Normalpris
kr 213
Medlemspris
SPAR
kr 97
BOG (HÆFTET)
Eksklusiv medlemspris kr 27

kr 227
Normalpris
kr 47
Medlemspris
SPAR
kr 200
BOG (HÆFTET)
Eksklusiv medlemspris kr 297

kr 350
Normalpris
kr 302
Medlemspris
SPAR
kr 53
BOG (HÆFTET)
Eksklusiv medlemspris kr 154

kr 229
Normalpris
kr 162
Medlemspris
SPAR
kr 75
BOG (HÆFTET)
Eksklusiv medlemspris kr 207

kr 269
Normalpris
kr 213
Medlemspris
SPAR
kr 62
BOG (HÆFTET)
Eksklusiv medlemspris kr 154

kr 229
Normalpris
kr 162
Medlemspris
SPAR
kr 75
BOG (HÆFTET)
Eksklusiv medlemspris kr 314

kr 349
Normalpris
kr 318
Medlemspris
SPAR
kr 35