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Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models
Chapman and Hall/CRC | 2024 | English | 9781032622095 | 276 pages | PDF | 17 MB
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Mastering Angular Test-Driven Development: Build high-quality Angular apps with step-by-step instructions and practical examples
| 2024 | English | 9781805126089 | PDF, EPUB | 32 MB
Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks
Wiley-ISTE | 2024 | English | 9781789451924 | 272 pages | PDF | 12 MB
Assembly Language for x86 Processors,7th Edition
Pearson | 2014 | English | 9780133769401 | 720 pages | PDF | 10 MB
Bayesian Deep Learning: Work with Bayesian Neural Networks BNN and BDL to employ an Ensemble of Deep Learning Models
Packt | 2023 | English | 9781803246888 | 386 pages | PDF, EPUB | 32 MB
Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor
Wiley-ISTE | 2024 | English | 9781789451931 | 304 pages | PDF | 9 MB
Make Your Own Neural Network
2016 | English | 9781530826605 | 222 pages | PDF(conv), EPUB, MOBI | 21 MB
Emerging Topics in Pattern Recognition and Artificial Intelligence
World Scientific Company | 2024 | English | 9789811289118 | 344 pages | PDF | 71 MB
Cambridge IGCSE and O Level Computer Science,2nd Edition
Hodder Education | 2021 | English | 9781398318281 | 400 pages | PDF | 10 MB
Cambridge IGCSE Information and Communication Technology,3rd Edition
Hodder Education | 2022 | English | 9781398318540 | 568 pages | PDF | 37 MB