Machine learning for subsurface characterization / Siddharth Misra, Hao Li, Jiabo He.

Statistical methods of geophysical data processing
by: Troi︠a︡n, V. N. (Vladimir Nikolaevich)
Published: (2010)

Review of NOAA's National Geophysical Data Center
Published: (2003)

Machine learning for engineers principles and algorithms through signal processing and information theory
by: Simeone, Osvaldo
Published: (2022)

Demystifying big data, machine learning, and deep learning for healthcare analytics
Published: (2021)

Machine learning and big data concepts, algorithms, tools and applications
Published: (2020)

Encyclopedia of data science and machine learning
Published: (2023)

Advances in Machine Learning for Big Data Analysis
Published: (2022)

Big data analytics a guide to data science practitioners making the transition to big data
by: Matter, Ulrich
Published: (2024)

Aiding forensic investigation through deep learning and machine learning frameworks
Published: (2022)

Machine learning in chemistry
Published: (2019)

User-Defined Tensor Data Analysis
by: Dong, Bin, et al.
Published: (2021)

Applications of machine learning and deep learning on biological data
Published: (2023)

Introduction to data science and machine learning
Published: (2020)

Machine Intelligence and Data Science Applications Proceedings of MIDAS 2021
Published: (2022)

An introduction to approaches and modern applications with ensemble learning
Published: (2020)

Recent Advances in Internet of Things and Machine Learning Real-World Applications
Published: (2022)

Machine learning and deep learning in neuroimaging data analysis
Published: (2024)

Classification Applications with Deep Learning and Machine Learning Technologies
Published: (2023)

The pragmatic programmer for machine learning engineering analytics and data science solutions
by: Scutari, Marco, et al.
Published: (2023)

Practical Machine Learning with AWS Process, Build, Deploy, and Productionize Your Models Using AWS
by: Singh, Himanshu
Published: (2021)

Blockchain, big data and machine learning trends and applications
Published: (2020)

Machine learning algorithms for engineering applications Prasenjit Chatterjee, Parmanand Astya, Sudeshna Chakraborty, Pooja, editors.
Published: (2022)

Data, Engineering and Applications Select Proceedings of IDEA 2021
Published: (2022)

Advances in machine learning and data mining for astronomy
Published: (2012)

Advances in machine learning and data mining for astronomy
Published: (2012)

Machine learning in materials informatics methods and applications
Published: (2022)

Stochastic optimization for large-scale machine learning
by: Chauhan, Vinod Kumar
Published: (2022)

Machine learning for planetary science
Published: (2022)

Machine learning in healthcare and security advances, obstacles, and solutions
Published: (2024)

Cloud computing for machine learning and cognitive applications
by: Hwang, Kai
Published: (2017)

Machine learning in chemistry the impact of artificial intelligence
Published: (2020)

Deep learning through sparse and low-rank modeling
Published: (2019)

Big data analytics in smart manufacturing principles and practices
Published: (2022)

Quantum Machine Learning: An Applied Approach The Theory and Application of Quantum Machine Learning in Science and Industry
by: Ganguly, Santanu
Published: (2021)

Data science and machine learning applications in subsurface engineering
Published: (2024)

Artificial Intelligence, Big Data and Data Science in Statistics Challenges and Solutions in Environmetrics, the Natural Sciences and Technology
Published: (2022)