The Catholic Church is among the oldest, most secretive, institutions in the world, but in the sixteenth century a friar, Onofrio Panvinio, undertook ground-breaking investigations into the Church's history from Christ to the Renaissance. This study shows how his writings impacted on church and society, but also how he changed historical writing.
Religious affiliation and religiosity of consumers can give rise to a differentiation of marketing strategy and marketing mix. They influence the values, habits and attitudes of consumers as well as their decision-making and consumption behavior. This book presents a comprehensive overview of the current state of knowledge of comparative religious research. The authors discuss the basic concepts and approaches of this interdisciplinary field. They describe central concepts of religious studies (e.g. intrinsic vs. extrinsic religiosity) and the various world religions. Then, they analyze how religiosity and religious affiliation influence consumer behavior, and what consequences this has for companies that operate across borders. How can or should they take into account the religious characteristics of their target groups? This original book will be a valuable resource for scholars of international marketing and business, consumer behavior and religious studies.
An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation. Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus—a multiuser open-source information retrieval system developed by one of the authors and available online—provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Offers the first book-length study of the Roman Catholic church's practice of embargoing trade outside of Christendom in the period c. 1150 to c. 1550, particularly examining the influence of the papacy on the state.
How is innovative architecture created? How can efficient synergies between planners and manufacturers be achieved? And how does an enterprise such as seele, with its proven high-level qualifications in the area of steel and glass, respond to planners' design ideas? These are just some of the questions answered in Innovative Design + Construction, the new publication in the DETAILdevelopment series. Using prestigious international projects as examples, the book explains the working philosophy and approach of the seele company, which stands for innovation in construction and customised solutions using the materials of glass, steel, aluminium and membranes like few other companies.
The European Union means many different things to its many peoples. In Germany, for example, the European project was conceived mainly as post-national, or even post-sovereign. In France, by contrast, President Emmanuel Macron has pursued the vision of a sovereign Europe; that is, an EU that would become a formidable geopolitical actor. Yet, instead, Europe has struggled to ascertain its values abroad and even domestically, facing a sovereignist rebellion from its newer member states, such as Hungary and Poland, and the departure of Britain. The eurozone crisis has undermined the EU's economic credentials, the refugee crisis its societal cohesion, the failure to stand up to Russia its sense of purpose, and the Covid-19 pandemic its credibility as a protector of European citizens. The key argument of this book is that the multiple crises of the European project are caused by one underlying factor: its bold attempt to overcome the age of nation-states. Left unchecked, supranational institutions tend to become ever more bureaucratic, eluding control of the people they are meant to serve. The logic of technocracy is thus pitted against the democratic impulse, which the European Union is supposed to embody. Democracy in Europe has suffered as a result.
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