E-Books → Parr T Active Inference The Free Energy Principle 2022
Published by: Emperor2011 on 10-08-2022, 14:54 | 0
Parr T Active Inference The Free Energy Principle 2022 | 8.03 MB
N/A | 308 Pages
Title: Monster Energy Zero Ultra, Sugar Free Energy Drink, 16 Ounce (Pack of 24)
Author: N/A
Year: N/A
Video Training → Linkedin Learning - Machine Learning and AI Foundations: Causal Inference and Modeling
Published by: Minhchick on 7-08-2022, 17:37 | 0
Linkedin Learning - Machine Learning and AI Foundations Causal Inference and Modeling-XQZT
English | Tutorial | Size: 469.51 MB
Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them
E-Books → Introduction to Statistical Inference
Published by: voska89 on 27-06-2022, 22:37 | 0
Introduction to Statistical Inference by Jack Carl Kiefer
English | PDF | 1987 | 342 Pages | ISBN : 1461395801 | 69.2 MB
This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality.
E-Books → The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Published by: voska89 on 23-03-2022, 13:00 | 0
The 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Wolfgang von der Linden
English | PDF | 2022 | 144 Pages | ISBN : N/A | 5.7 MB
This workshop series was initiated by Myron Tribus and Edwin T. Jaynes, and organised for the first time by C.Ray Smith and Walter T. Grandy in 1981 at the University in Wyoming. Since then, tremendous progress has been made and the number of publications based on Bayesian methods is impressive
E-Books → Visual Inference for IoT Systems A Practical Approach
Published by: voska89 on 9-03-2022, 03:14 | 0
English | 2022 | ISBN: 3030909026 | 171 pages | True PDF EPUB | 35.13 MB
This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements.
E-Books → Agent-based Models and Causal Inference
Published by: voska89 on 9-03-2022, 00:16 | 0
English | 2022 | ISBN: 1119704472 | 167 pages | True EPUB , PDF | 3.48 MB
Agent-based Models and Causal Inference Agent-based Models and Causal Inference
E-Books → Statistical Inference Via Convex Optimization by Anatoli Juditsky PDF
Published by: Emperor2011 on 20-01-2022, 12:47 | 0
Statistical Inference Via Convex Optimization by Anatoli Juditsky PDF | 18.76 MB
English | 656 Pages
Title: Statistical Inference via Convex Optimization (Princeton Series in Applied Mathematics Book 65)
Author: Anatoli Juditsky
Year: 2020
E-Books → What Is Causal Inference
Published by: Emperor2011 on 15-01-2022, 15:59 | 0
What Is Causal Inference | 1.49 MB
English | 43 Pages
Title: What Is Causal Inference?
Author: Hugo Bowne-Anderson, Mike Loukides
Year: 2019
E-Books → Theory of Statistical Inference
Published by: voska89 on 13-12-2021, 12:14 | 0
English | 2021 | ISBN: 0367488752 , 978-0367488758 | 470 pages | True PDF | 11.42 MB
Theory of Statistical Inferenceis designed as a reference on statistical inference for researchers and students at the graduate or advanced undergraduate level. It presents a unified treatment of the foundational ideas of modern statistical inference, and would be suitable for a core course in a graduate program in statistics or biostatistics. The emphasis is on the application of mathematical theory to the problem of inference, leading to an optimization theory allowing the choice of those statistical methods yielding the most efficient use of data. The book shows how a small number of key concepts, such as sufficiency, invariance, stochastic ordering, decision theory and vector space algebra play a recurring and unifying role.
E-Books → Scientific Inference - Learning from Data
Published by: ad-team on 22-10-2021, 13:01 | 0
Scientific Inference - Learning from Data
pdf | 4.54 MB | English | Isbn: 978-1107607590 | Author: Simon Vaughan | Year: 2013