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 English | 2022 | ISBN: 1119982030 | 371 pages | True PDF | 7.67 MB Write, read, work, and play—en Français French Workbook For Dummies is the perfect starting place for beginners who want to learn French. Packed with foundational grammar and integrated vocab, this hands-on book will set you on your way to picking up a new language. You'll find valuable practice lessons and exercises throughout that help you learn key vocabulary and phrases, writing in French, and understanding the fifth most commonly spoken language worldwide.  English | 2022 | ISBN: 1119982030 | 348 pages | True EPUB | 9.34 MB Write, read, work, and play—en Français French Workbook For Dummies is the perfect starting place for beginners who want to learn French. Packed with foundational grammar and integrated vocab, this hands-on book will set you on your way to picking up a new language. You'll find valuable practice lessons and exercises throughout that help you learn key vocabulary and phrases, writing in French, and understanding the fifth most commonly spoken language worldwide.
 English | 2022 | ISBN: 1541620364 | 272 pages | True EPUB | 6.97 MB A renowned psychologist argues that free will is not only real but essential to our well-being It's become fashionable to argue that free will is a fiction: that we humans are in the thrall of animal urges and unconscious biases and only think that we are choosing freely. InFreely Determined, research psychologist Kennon Sheldon argues that this perception is not only wrong but also dangerous. Drawing on decades of his own groundbreaking empirical research into motivation and goal setting, Sheldon shows us that embracing the ability to choose our path in life makes us happier, healthier, and more fulfilled. He also shows that this insight can help us choose better goals—ones that are concordant with our values and that, critically, we're more likely to actually see through.
 English | 2022 | ISBN: 1119893232 | 269 pages | True PDF EPUB | 6.96 MB Master the new realities of work with this step-by-step guide to freelancing In Freelance Your Way to Freedom: How to Free Yourself from the Corporate World and Build the Life of Your Dreams , freelancing phenomenon Alex Fasulo delivers a practical, step-by-step guide to navigating the potential and perils of launching your very own side hustle. In the book, the author draws on her own experience transforming a $36,000/year Fiverr side hustle into a million-dollar enterprise. She explains how to manage those critical moments in business when decisions need to be made quickly and without warning.
 English | 2023 | ISBN: 3110673029 | 94 pages | True PDF EPUB | 9.05 MB Post-crisis capital regulations and new failure-resolution rules increased the funding costs that are borne by bank shareholders, and thus the cost to buy-side firms for access to space on the balance sheets of large banks. A policy implication is the encouragement of market infrastructure and trading methods that reduce the amount of space on bank balance sheets that is needed to conduct a given amount of trade. Using models and evidence, this book addresses the implications for financial-market liquidity of these regulations for systemically important banks and argues that current rules do not allow for potential levels of market efficiency and financial stability. In this insightful analysis of the impact of regulation on financial market efficiency post-2008, the author argues that bank capital levels could actually be pushed higher while still improving the liquidity of markets for safe assets such as low-risk fixed-income instruments by relaxing the leverage-ratio rule and increasing risk-based capital requirements.  English | 2022 | ISBN: 978-1032124124 | 522 pages | True PDF | 11.39 MB Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas ― especially finance. Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging.
 English | 2023 | ISBN: 1032124121 | 522 pages | True EPUB | 28.39 MB Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas — especially finance. Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging. This book provides a lucid and insightful understanding of the topic by emphasizing the foundational mathematics and implementing models and algorithms in well-designed Python code, along with robust coverage of several financial trading problems that can be solved with Reinforcement Learning. This book has been created after years of iterative experimentation on the pedagogy of these topics while being taught to university students as well as industry practitioners. Features Focus on the foundational theory underpinning Reinforcement Learning and software design of the corresponding models and algorithms. Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses. Suitable for a professional audience of quantitative analysts or data scientists. Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding. [center]  English | 2022 | ISBN: 1526772108 | 274 pages | True PDF EPUB | 39.23 MB Paul Coby here proposes a new system for the recording and mapping of Roman forts and fortifications that integrates all the data, including size, dating and identification of occupying units. Application of these methods allows analysis that brings new insights into the placement of these forts, the units garrisoning them and the strategy of conquest and defense they underpinned. This is a new and original contribution to the long-running debate over whether the Roman Empire had a coherent grand strategy or merely reacted piecemeal to emerging needs. Although the author focuses on several major campaigns in Britain as case studies, the author stresses that his method's are also applicable to elsewhere in the Empire. Lavishly illustrated with color maps, the book is also supported by a website and blogs, encouraging further investigation and discussion.  English | 2022 | ISBN: 3031121309 | 258 pages | True PDF EPUB | 37.21 MB The book synthesizes research on the analysis of biomedical ontologies using formal concept analysis, including through auditing, curation, and enhancement. As the evolution of biomedical ontologies almost inevitably involves manual work, formal methods are a particularly useful tool for ontological engineering and practice, particularly in uncovering unexpected "bugs" and content materials. The book first introduces simple but formalized strategies for discovering undesired and incoherent patterns in ontologies before exploring the application of formal concept analysis for semantic completeness. The book then turns to formal concept analysis, a classical approach used in the mathematical treatment of orders and lattices, as an ontological engineering principle, focusing on the structural property of ontologies with respect to its conformation to lattice or not (non-lattice). The book helpfully covers the development of more efficient algorithms for non-lattice detection and extraction required by exhaustive lattice/non-lattice analysis. The book goes on to highlight the power and utility of uncovering non-lattice structure for debugging ontologies and describes methods that leverage the linguistic information in concept names (labels) for ontological analysis. It also addresses visualization and performance evaluation issues before closing with an overview and forward-looking perspectives on the field. This book is intended for graduate students and researchers interested in biomedical ontologies and their applications. It can be a useful supplement for courses on knowledge representation and engineering and also provide readers with a reference for related scientific publications and literature to assist in identifying potential research topics. All mathematical concepts and notations used in this book can be found in standard discrete mathematics textbooks, and the appendix at the end of the book provides a list of key ontological resources, as well as annotated non-lattice and lattice examples that were discovered using the authors' methods, demonstrating how "bugs are fixed" by converting non-lattices to lattices with minimal edit changes.  English | 2022 | ISBN: 978-0367219994 | 272 pages | True PDF | 14.97 MB Formal methods is a field of computer science that emphasizes the use of rigorous mathematical techniques for verification and design of hardware and software systems. Analysis and design of nonlinear control design plays an important role across many disciplines of engineering and applied sciences, ranging from the control of an aircraft engine to the design of genetic circuits in synthetic biology. While linear control is a well-established subject, analysis and design of nonlinear control systems remains a challenging topic due to some of the fundamental difficulties caused by nonlinearity. Formal Methods for Control of Nonlinear Systems provides a unified computational approach to analysis and design of nonlinear systems. |
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