Inference And Learning From Data Volume 2

Inference and Learning from Data: Volume 2: Inference  eBooks & eLearning

Posted by arundhati at Jan. 12, 2024
Inference and Learning from Data: Volume 2: Inference

Ali H. Sayed, "Inference and Learning from Data: Volume 2: Inference"
English | ISBN: 1009218263 | 2023 | 1070 pages | PDF | 52 MB
Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine (repost)

Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine (Statistics for Biology and Health) by Bibhas Chakraborty and Erica E.M. Moodie
English | ISBN: 1461474272 | 2013 | PDF | 220 pages | 2,5 MB

Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and illustration through analysis of real and simulated data.
Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine

Bibhas Chakraborty, Erica E.M. Moodie, "Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine"
English | 2013 | ISBN: 1461474272 | PDF | pages: 220 | 2.5 mb

Become An Aws Certified Data Engineer  eBooks & eLearning

Posted by ELK1nG at Jan. 2, 2024
Become An Aws Certified Data Engineer

Become An Aws Certified Data Engineer
Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.67 GB | Duration: 18h 21m

Learn how to become an AWS Certified Data Engineer -Associate with hands-on learning.
Methods Matter: Improving Causal Inference in Educational and Social Science Research

Methods Matter: Improving Causal Inference in Educational and Social Science Research By Richard J. Murnane, John B. Willett
2010 | 414 Pages | ISBN: 0199753865 | PDF | 2 MB

Bioinformatics: Algorithms, Coding, Data Science And Biostatistics  eBooks & eLearning

Posted by naag at Oct. 9, 2024
Bioinformatics: Algorithms, Coding, Data Science And Biostatistics

Bioinformatics: Algorithms, Coding, Data Science And Biostatistics
English | 2024 | ISBN: B0CW2WP8T7 | Pages: 325 | PDF | 1.63 MB
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD, part 1

Michael Kamp, "Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, part 1"
English | ISBN: 3030937356 | 2022 | 907 pages | EPUB | 108 MB
"Advances in Statistical Methodologies and Their Application to Real Problems" ed. by Tsukasa Hokimoto

"Advances in Statistical Methodologies and Their Application to Real Problems" ed. by Tsukasa Hokimoto
ITexLi | 2017 | ISBN: 9535131028 953513101X 9789535131014 9789535131021 | 315 pages | PDF | 22 MB

This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.
Language and Automata Theory and Applications: 7th International Conference, LATA 2013, Bilbao, Spain, April 2-5, 2013. Proceed

Language and Automata Theory and Applications: 7th International Conference, LATA 2013, Bilbao, Spain, April 2-5, 2013. Proceedings By Jin-Yi Cai (auth.), Adrian-Horia Dediu, Carlos Martín-Vide, Bianca Truthe (eds.)
2013 | 580 Pages | ISBN: 3642370632 | PDF | 7 MB

"Mathematics of Planet Earth" ed. by Eulogio Pardo-Igúzquiza, et al. (Repost)  eBooks & eLearning

Posted by exLib at June 24, 2014
"Mathematics of Planet Earth" ed. by Eulogio Pardo-Igúzquiza, et al. (Repost)

"Mathematics of Planet Earth" ed. by Eulogio Pardo-Igúzquiza, et al.
Lecture Notes in Earth System Sciences. Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences
Sрringеr | 2014 | ISBN: 364232407X 9783642324079 9783642324086 | 847 pages | PDF | 39 MB

This volume is dedicated to the main task of mathematical geoscientists during the last forty years - to establish new frontiers and new challenges in the study and understanding of the natural world.