Machine learning for science and engineering. Volume I, Fundamentals /

Computing in science & engineering.
Published: (1999)

Impact of computing in science and engineering.
Published: (1989)

Analytical, numerical, and computational methods for science and engineering /
by: Hostetter, G. H., 1939-
Published: (1991)

Data-driven science and engineering : machine learning, dynamical systems, and control /
by: Brunton, Steven L. (Steven Lee), 1984-, et al.
Published: (2022)

Machine learning for engineers /
by: Simeone, Osvaldo
Published: (2023)

Recent progress in computational sciences and engineering : lectures presented at the International Conference of Computational Methods in Sciences and Engineering 2006 (ICCMSE 2006), Chania, Crete, Greece /
Published: (2006)

Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence /
by: Sekar, Maris
Published: (2022)

Advances in computational methods in sciences and engineering 2005 : selected papers from the International Conference of Computational Methods in Sciences and Engineering 2005 (ICCMSE 2005) /
Published: (2005)

Computational methods in science and engineering : advances in computational science : lectures presented at the International Conference on Computational Methods in Science and Engineering 2008 (ICCMSE 2008), Hersonissos, Crete, Greece, 25-30 September 2008 /
Published: (2009)

In the frontiers of computational science : lectures presented in the International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2005) ; recognised conference by the European Society of Computational Methods in Sciences and Engineering (ESCMSE) /
Published: (2005)

Machine learning of design concepts /
by: Li, Heng
Published: (1994)

Trends and perspectives in modern computational science : lectures presented in the International Conference of Computational Methods in Sciences and Engineering 2006 (ICCMSE 2006): China, Crete, Greece ; recognised conference by the European Society of Computational Methods in Sciences and Engineering (ESCMSE) /
Published: (2006)

FORTRAN 77 for engineers and scientists /
by: Holoien, Martin O., 1928-
Published: (1991)

Scientific and engineering applications with personal computers : a software approach with examples for the Apple-, IBM-PC-, and CP/M-based microcomputer systems /
by: Annino, Raymond
Published: (1986)

Machine learning for planetary science /
Published: (2022)

Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applications /
by: Bonakdari, Hossein, et al.
Published: (2023)

Problem solving and computation for scientists and engineers : an introduction using C /
by: Lerman, Steven R.
Published: (1993)

Machine learning for experiments in the social sciences /
by: Green, Jonathan, 1991-, et al.
Published: (2023)

Computers in science : using computers for learning and teaching /
by: Kahn, Brian
Published: (1985)

Getting started with MATLAB : a quick introduction for scientists and engineers /
by: Pratap, Rudra, 1964-
Published: (2010)

Getting started with MATLAB : a quick introduction for scientists and engineers /
by: Pratap, Rudra, 1964-
Published: (2002)

Scientific software design : the object-oriented way /
by: Rouson, Damian, 1967-
Published: (2011)

Spreadsheets in science and engineering /
Published: (1998)

Machine learning for physics and astronomy /
by: Acquaviva, Viviana
Published: (2023)

Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /
by: Belyadi, Hoss, et al.
Published: (2021)

Applied machine learning on sensing technologies /
Published: (2025)

High performance computing in science and engineering : transactions of the High Performance Computing Center, Stuttgart (HLRS).
Published: (1999)

Programming projects in C for students of engineering, science, and mathematics /
by: Rostamian, Rouben, 1949-
Published: (2014)

Machine learning in chemistry : data-driven algorithms, learning systems, and predictions /
Published: (2019)

Gaussian processes for machine learning /
by: Rasmussen, Carl Edward
Published: (2006)

Programming with MATLAB for scientists : a beginner's introduction /
by: Mikhailov, Eugeniy E., 1975-
Published: (2017)

Machine learning in production : from models to products /
by: Kästner, Christian
Published: (2025)

1-2-3 for scientists and engineers /
by: Orvis, William J.
Published: (1991)

Text and document processing in science and technology /
by: Ransom, Robert (Robert J.)
Published: (1987)

Machine learning for asset management : new developments and financial /
Published: (2020)

Challenges in scientific computing--CISC 2002 : proceedings of the conference Challenges in Scientific Computing, Berlin, October 2-5, 2002 /
Published: (2003)