Facsimile: Originally published: Harold, Kentucky, 1996.

Use discount Code FEBRUARY15 for 15% off at checkout! Hurry, expires midnight Friday 24 February. Buckingham County suffered significant loss of its early court records. This scarcity of records makes this tax list transcription a valuable one. Spanning a period of 29 years (1764,1773-4,1782-92) with over 12,700 individual records, statistical tables and graphs, plus a host of other information that will illuminate the lives and social structure of the county during the late Colonial and early Federal period. Information varies by year, but the curious researcher will find much of interest here. Included are the names of the taxpayers, their taxable male cohabitants, their slaves' names, number of their slaves, horses and cattle along with other taxable items like riding carriages and acres of land. Features a 160 page index of every name, allowing the researcher to quickly assemble the information needed in successive years for genealogical, historical, sociological or demographic analysis.

Presents easy-to-understand strategies for researching family roots online. Featuring detailed explanations, each chapter teaches you how to navigate popular genealogy websites, decipher census data and other online records, and connect with other family members to share your findings. The book also includes tips on using free databases and genealogy apps.

This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in the implementation of recommendation engines and the proper selection of metrics for distance-based analysis are also covered. Utilizing numerous comprehensive code examples, figures, and tables to help clarify and illuminate essential data science topics, the authors provide an extensive treatment and analysis of real-world questions, focusing especially on the task of determining and assessing answers to these questions as expeditiously and precisely as possible. This book addresses the challenges related to uncovering the actionable insights in “big data,” leveraging database and data collection tools such as web scraping and text identification. This book is organized as 11 chapters, structured as independent treatments of the following crucial data science topics: Data gathering and acquisition techniques including data creation Managing, transforming, and organizing data to ultimately package the information into an accessible format ready for analysis Fundamentals of descriptive statistics intended to summarize and aggregate data into a few concise but meaningful measurements Inferential statistics that allow us to infer (or generalize) trends about the larger population based only on the sample portion collected and recorded Metrics that measure some quantity such as distance, similarity, or error and which are especially useful when comparing one or more data observations Recommendation engines representing a set of algorithms designed to predict (or recommend) a particular product, service, or other item of interest a user or customer wishes to buy or utilize in some manner Machine learning implementations and associated algorithms, comprising core data science technologies with many practical applications, especially predictive analytics Natural Language Processing, which expedites the parsing and comprehension of written and spoken language in an effective and accurate manner Time series analysis, techniques to examine and generate forecasts about the progress and evolution of data over time Data science provides the methodology and tools to accurately interpret an increasing volume of incoming information in order to discern patterns, evaluate trends, and make the right decisions. The results of data science analysis provide real world answers to real world questions. Professionals working on data science and business intelligence projects as well as advanced-level students and researchers focused on data science, computer science, business and mathematics programs will benefit from this book.

Start making money today--with the ultimate guide for first-time investors No matter what the market does, real estate stilloffers plenty of money-making opportunities. In this new edition of The Beginner's Guide to Real Estate Investing, Gary W. Eldred presents the toolsand knowledge new investors need to get started profitably. Packed with smart money-making strategies and real-life stories from successful investors, this edition also covers the latest information on financing, foreclosures, cash flow, and much more. You'll not only master the basics of investing, but also discover specialized techniques that the pros rely on to grow their long-term wealth. Concise yet comprehensive, this practical guide shows you how to: Find great deals on properties with big potential Get started with low- or no-down payment financing Utilize creative financing options and otherpeople's money Buy low-cost foreclosures and REOs Make value-adding improvements to any property Craft winning offers and negotiate like a pro Manage rental properties hassle-free Flip investment properties for fast profit In addition, Eldred shows you how to tailor your investment strategy to make money almost anywhere, in any type of market. With proven techniques, timeless principles, and totally up-to-date information, The Beginner's Guide to Real Estate Investing, Second Edition is the perfect place to start building a prosperous future--today.