Computers & Internet
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics
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Specifications
| author | Ching, Jianye |
| publisher | CRC Pr I Llc |
| isbn13 | 9781032314419 |
| isbn10 | 1032314419 |
| binding | hardcover |
| language | english |
| edition | 1 |
| pages | 176 |
Product Description
Here on GlowMirror, you'll find Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics filed under Computers & Internet -- everything you need to know is covered below.
About this book
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye published by CRC Pr I Llc.
Related topics
probabilistic modeling, soil property analysis, spatial statistics, cross-correlation methods, underground site assessment, parameter estimation techniques, advanced geotechnical data interpretation.
Book Insights
What You'll Learn
- ·Fundamental and advanced concepts in Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics
- ·Code examples, algorithms, and implementation patterns
- ·Best practices and industry-relevant skills
Who Should Read This
Software developers, IT professionals, computer science students, and tech enthusiasts.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics is available in english on GlowMirror.
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Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics is authored by Ching, Jianye.
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Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics is published by CRC Pr I Llc.
How many pages does Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics have?
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics has 176 pages.
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At an average reading speed of 250 words per minute, reading Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics takes approximately 4 hours.
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About this book
Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye published by CRC Pr I Llc.
Related topics
probabilistic modeling, soil property analysis, spatial statistics, cross-correlation methods, underground sit...
Is Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics suitable for beginners?
Whether Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics is suitable for beginners depends on your background in Computers & Internet. Review the product description and specifications above for details on the target audience and difficulty level.
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Bayesian Machine Learning in Geotechnical Site Characterization (Challenges in Geotechnical and Rock Engineering) by Ching, Jianye | Hardcover | Soil And Rock Mechanics is from the CRC Pr I Llc edition/year. Check the specifications section for full edition details.
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