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Paperback. Condition: New. Engines of Mischief explores the day-to-day labor, economic, political, and social climate at the dawn of the Industrial Revolution in Manchester, England, between 1817 and 1818. Using new economic theories of the time, parliamentary commissions, and news reports, students will engage with crucial issues of the day, debating factory conditions and child labor; the role of the government in the economy, taxation, workers' unions; and the extension of political rights down the social hierarchy.In the game, by assuming the roles of historical actors from various classes of society, students are faced with choices about how to live and prosper during this period of great technological, economic, and social transformation. Will the working class violently resist new technology in factories, form unions, or join radical political clubs to improve their working conditions and protect their rights? How best will middle-class entrepreneurs run their enterprises; will they provide fair treatment to their workers or simply maximize their profit? How will the aristocrats maintain their power in government and society? Will they support the middle or the working classes.…

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Paperback. Condition: New. Engines of Mischief explores the day-to-day labor, economic, political, and social climate at the dawn of the Industrial Revolution in Manchester, England, between 1817 and 1818. Using new economic theories of the time, parliamentary commissions, and news reports, students will engage with crucial issues of the day, debating factory conditions and child labor; the role of the government in the economy, taxation, workers' unions; and the extension of political rights down the social hierarchy.In the game, by assuming the roles of historical actors from various classes of society, students are faced with choices about how to live and prosper during this period of great technological, economic, and social transformation. Will the working class violently resist new technology in factories, form unions, or join radical political clubs to improve their working conditions and protect their rights? How best will middle-class entrepreneurs run their enterprises; will they provide fair treatment to their workers or simply maximize their profit? How will the aristocrats maintain their power in government and society? Will they support the middle or the working classes.…

Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Paperback or Softback. Condition: New. Mastering Data Mining with Python - Find patterns hidden in your data. Book.

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Paperback. Condition: New. Learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniquesAbout This Book. Dive deeper into data mining with Python - don't be complacent, sharpen your skills! From the most common elements of data mining to cutting-edge techniques, we've got you covered for any data-related challenge. Become a more fluent and confident Python data-analyst, in full control of its extensive range of librariesWho This Book Is ForThis book is for data scientists who are already familiar with some basic data mining techniques such as SQL and machine learning, and who are comfortable with Python. If you are ready to learn some more advanced techniques in data mining in order to become a data mining expert, this is the book for you!What You Will Learn . Explore techniques for finding frequent itemsets and association rules in large data sets. Learn identification methods for entity matches across many different types of data. Identify the basics of network mining and how to apply it to real-world data sets. Discover methods for detecting the sentiment of text and for locating named entities in text. Observe multiple techniques for automatically extracting summaries and generating topic models for text. See how to use data mining to fix data anomalies and how to use machine learning to identify outliers in a data set In DetailData mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy - without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries.In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.Style and approach This book will teach you the intricacies in applying data mining using real-world scenarios and will act as a very practical solution to your data minin.…