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Catrina Curant: Podglądana i inne opowiadania erotyczne

Catrina Curant

Zbiór zawiera opowiadania, które w swojej tematyce poruszają różnego rodzaju tabu i fetysze, nawet te, o których nie mówi się głośno. Nasze ukryte pragnienia i fantazje. Tajemnice i sekrety. Romans, który nie miał prawa się udać i magia... Ten zbiór jest różnorodny, zarówno pod względem treści, jak i formy. Znajdziecie tutaj ostre i mocne sceny erotyczne i otrzecie się o świat BDSM, ale odkryjecie też, że czasami to przeznaczenie sprawia, że dwie osoby zatrzymują się nagle i nie mogą oderwać od siebie wzroku. Niektóre opowiadania są romantyczne, niektóre mroczne, inne zaskakujące, są takie, jak nasze życie niejednoznaczne. Catrina Curant zaprasza Was do świata przepełnionego pożądaniem i wyuzdaniem, do świata ze snów, ale też do przeczytania historii, które mogą przydarzyć się każdemu... a może już się przytrafiły? Zbiór składa się z 10 opowiadań erotycznych: Śpiąca królewna Wrześniowe ruiny: Hasło bezpieczeństwa Świąteczne zakochanie Podglądana I nie wódź nas na pokuszenie Pokój zabaw, czyli małżeństwo nie musi być nudne Wampir. Jesteśmy odpowiedzialni za to, co uratowaliśmy Walentynkowe tajemnice t Zachwiane fundamenty. Dwa oblicza Sary Larson Rozbrojony

Catrina Curant: Podglądana i inne opowiadania erotyczne

Catrina Curant

Zbiór zawiera opowiadania, które w swojej tematyce poruszają różnego rodzaju tabu i fetysze, nawet te, o których nie mówi się głośno. Nasze ukryte pragnienia i fantazje. Tajemnice i sekrety. Romans, który nie miał prawa się udać i magia... Ten zbiór jest różnorodny, zarówno pod względem treści, jak i formy. Znajdziecie tutaj ostre i mocne sceny erotyczne i otrzecie się o świat BDSM, ale odkryjecie też, że czasami to przeznaczenie sprawia, że dwie osoby zatrzymują się nagle i nie mogą oderwać od siebie wzroku. Niektóre opowiadania są romantyczne, niektóre mroczne, inne zaskakujące, są takie, jak nasze życie niejednoznaczne. Catrina Curant zaprasza Was do świata przepełnionego pożądaniem i wyuzdaniem, do świata ze snów, ale też do przeczytania historii, które mogą przydarzyć się każdemu... a może już się przytrafiły? Zbiór składa się z 10 opowiadań erotycznych: Śpiąca królewna Wrześniowe ruiny: Hasło bezpieczeństwa Świąteczne zakochanie Podglądana I nie wódź nas na pokuszenie Pokój zabaw, czyli małżeństwo nie musi być nudne Wampir. Jesteśmy odpowiedzialni za to, co uratowaliśmy Walentynkowe tajemnice t Zachwiane fundamenty. Dwa oblicza Sary Larson Rozbrojony

Catriona

Robert Louis Stevenson

Young people find each other. They learn to love. And again, Alan Breck helps them. Moreover, the case turned out to be rather complicated. Katrions father is involved in a strange story, the consequences of which can turn against friends. The narrative is quite interesting, intriguing. Will David be happy with Catriona?

Causal Inference and Discovery in Python. Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Aleksander Molak, Ajit Jaokar

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality.You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You’ll further explore the mechanics of how “causes leave traces” and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.By the end of this book, you will be able to build your own models for causal inference and discovery using statistical and machine learning techniques as well as perform basic project assessment.

Causal Inference in R. Decipher complex relationships with advanced R techniques for data-driven decision-making

Subhajit Das

Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You’ll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You’ll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data.By the end of this book, you’ll be able to confidently establish causal relationships and make data-driven decisions with precision.

Causal Inference with Bayesian Networks. Build Bayesian Networks and Causal Inference Models with R and Python

Yousri El Fattah, Reza Bagheri

This practical guide explores Bayesian networks, graphical models, and causal inference for probabilistic reasoning and treatment effect estimation using real-world data. You’ll learn Bayesian networks, conditional independence, structural causal models (SCM), and intervention-based reasoning for causal analysis. The book explains how graphical models support probabilistic inference, decision-making, and knowledge representation across healthcare, economics, epidemiology, finance, and social sciences.You’ll work with probabilistic inference methods such as variable elimination, tree clustering, and Bayesian network reasoning. For causal inference, the book covers Pearl’s do-calculus, backdoor and front-door criteria, causal effect identification, and treatment effect estimation using observational data. You’ll also explore the potential outcomes framework and machine learning approaches for causal inference, including meta-learners for estimating conditional average treatment effects and heterogeneous treatment effects.Practical examples and exercises in R and Python help reinforce concepts and build implementation skills for causal modeling workflows. By the end of the book, you’ll be able to design Bayesian network models, perform probabilistic and causal inference, and develop practical causal analysis applications for evidence-based decision-making.

Caves of Terror

Talbot Mundy

A collection of crime fiction short stories featuring Mme. Rosika Storey and her resourceful assistant Bella Brickley. Mme. Storey unravels complex cases with thorough investigation and an understanding of human nature. These short stories are written through Bella Brickleys point-of-view. She is Madame Storey, like Sherlock has fantastic powers of deduction and understanding of psychology, and her secretary is like Watson though she doest have a degree in medicine. Also Ms. Brickley adds a realistic persons fear to very dangerous situations. The short stories in this collection are: "The Almost Perfect Murder", "Murder in Masquerade", "The Death Notice", "Taken for a Ride", "It Never Got Into The Papers".

CBRN. Security Manager Handbook

Michał Bijak

Project “Support for European Union action in the field of CBRN security managers education” SE-CBRN-URE is funded by European Commission, The Directorate-General for Migration and Home Affairs (DG HOME) from Internal Security Fund – Police, call “Implementation of the EU CBRN Action Plan, the EU Action Plan on enhancing the security of explosives and the European programme of critical infrastructure protection”. Total project budget – 684 377 Euro (EU contribution – 615 940 Euro). Grant Agreement No. HOME/2015/ISFP/AG/CBRN/4000008459 Acts of chemical, biological, radiological and nuclear (CBRN) terrorism are four new risks that the European public has to take into consideration. With the possibility of these different forms of weapons of mass destruction (WMDs) being used in acts of terrorism, an urgent need has arisen to prevent and combat their use. The use of any of the four types of CBRN weapons in acts of terrorism could open the door to the possibility of destabilization of the European Union, and lead to undermining its economic stability, public security and social integrity. An additional problem is the constant threat of explosives, especially home-made devices, which can be used by themselves or as a release mechanism for CBRN agents.