Free Download Richard Kenneth Atkins, "Peirce on Inference: Validity, Strength, and the Community of Inquirers"
English | ISBN: 019768906X | 2023 | 352 pages | EPUB, PDF | 1167 KB + 16 MB
Above all other titles, Charles Sanders Peirce (1839-1914) prized that of logician. He thought of logic broadly, such that it includes not merely formal logic but an examination of the entire process of inquiry. His works are replete with detailed investigations into logical questions. Peirce is especially concerned to show that valid inferential processes, diligently followed, will eventually root out error and alight on the truth. Peirce on Inference draws together diverse strands from Peirce's lifelong reflections on logic in order to develop a comprehensive perspective on Peirce's theory of inference.

Free Download Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep learning in Python by Matt Benatan, Jochem Gietema, Marian Schneider
English | June 30, 2023 | ISBN: 180324688X | 386 pages | PDF | 17 Mb
Develop Bayesian Deep Learning models to help make your own applications more robust.

Free Download Time Series; Modeling, Computation, and Inference; Second Edition
by Raquel Prado
English | 2021 | ISBN: 1498747027 | 473 pages | True PDF | 72.11 MB

Free Download Statistical Inference in Linear Models by Sandra Ferreira
English | PDF | 2024 | 224 Pages | ISBN : N/ | 11.8 MB
Linear models are statistical models that play a crucial role in several fields of science and are of practical importance in statistics. Their most typical type is the linear regression model. Many phenomena, such as those in biology, medicine, economics, management, geology, meteorology, agriculture, and industry, can be approximately described with linear models. Moreover, the further research and development of linear models is still a hot research topic.

Bucak I Bayesian Inference Recent Trends 2024 | 6.28 MB
N/A | 78 Pages

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Free Download Statistical Inference Under Mixture Models
English | 2023 | ISBN: 9819979048 | 327 Pages | PDF EPUB (True) | 29 MB
This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations.

Free Download Machine Learning for Causal Inference
English | 2023 | ISBN: 3031350502 | 544 Pages | PDF EPUB (True) | 27 MB
This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference, which include basic definitions, illustrative examples, and assumptions. It then delves into the different types of classical causal inference methods, such as matching, weighting, tree-based models, and more. Additionally, the book explores how machine learning can be used for causal effect estimation based on representation learning and graph learning. The contribution of causal inference in creating trustworthy machine learning systems to accomplish diversity, non-discrimination and fairness, transparency and explainability, generalization and robustness, and more is also discussed. The book also provides practical applications of causal inference in various domains such as natural language processing, recommender systems, computer vision, time series forecasting, and continual learning. Each chapter of the book is written by leading researchers in their respective fields.

Free Download Causal Inference for Data Science (MEAP V07)
English | 2023 | ISBN: 9781633439658 | 359 Pages | PDF EPUB | 9 MB
It's possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You'll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.

Free Download Probability Modeling and Statistical Inference in Cancer Screening
by Dongfeng Wu
English | 2023 | ISBN: 1032513306 | 286 pages | True PDF | 10.37 MB

Free Download Inference and Learning from Data
by ALI H. SAYED
English | 2023 | ISBN: 100921828X | 1082 pages | True PDF | 95.46 MB