Mining and Me PDF Download

Author: Michael Martucci
Publisher: Little Steps Publishing
ISBN: 1925839575
Category : Juvenile Fiction
Languages : en
Pages : 32

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Author: Otis E. Young, Jr.
Publisher: University of Oklahoma Press
ISBN: 9780806113524
Category : Technology & Engineering
Languages : en
Pages : 372

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Book Description
Here, for the first time, is a clear account in words and pictures of the methods by which gold and silver were extracted and processed in the Old West. The author describes the early days of Spanish and Indian mining and the wild era inaugurated by the American prospector who rushed west to get rich quick, ending with the year 1893, when repeal of the Sherman Silver Purchase Act virtually closed the mining frontier. The account gives in laymen’s language the techniques employed in prospecting, placering, lode mining, and milling, particularly those employed by the Spaniards, Indians, and Cornishmen, and shows how the ever-practical Americans adapted and improved them. Special attention is given to the methods employed in the California and Montana gold fields, Colorado and the Comstock Lode, the Black Hills, and Tombstone, Arizona. In these pages the reader also meets some of the unforgettable personalities whose lives enriched (and sometimes impoverished) the mining camps.

Author: Lam Thuy Vo
Publisher: No Starch Press
ISBN: 1593279167
Category : Computers
Languages : en
Pages : 210

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Book Description
BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: Write Python scripts and use APIs to gather data from the social web Download data archives and dig through them for insights Inspect HTML downloaded from websites for useful content Format, aggregate, sort, and filter your collected data using Google Sheets Create data visualizations to illustrate your discoveries Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.

Author: Peter Darling
Publisher: SME
ISBN: 0873352645
Category : Technology & Engineering
Languages : en
Pages : 1912

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Book Description
This third edition of the SME Mining Engineering Handbook reaffirms its international reputation as "the handbook of choice" for today's practicing mining engineer. It distills the body of knowledge that characterizes mining engineering as a disciplinary field and has subsequently helped to inspire and inform generations of mining professionals.Virtually all of the information is original content, representing the latest information from more than 250 internationally recognized mining industry experts. Within the handbook's 115 thought-provoking chapters are current topics relevant to today's mining professional: Analyzing how the mining and minerals industry will develop over the medium and long term--why such changes are inevitable, what this will mean in terms of challenges, and how they could be managed Explaining the mechanics associated with the multifaceted world of mine and mineral economics, from the decisions associated with how best to finance a single piece of high-value equipment to the long-term cash-flow issues associated with mine planning at a mature operation Describing the recent and ongoing technical initiatives and engineering developments in relation to robotics, automation, acid rock drainage, block caving optimization, or process dewatering methods Examining in detail the methods and equipment available to achieve efficient, predictable, and safe rock breaking, whether employing a tunnel boring machine for development work, mineral extraction using a mobile miner, or cast blasting at a surface coal operation Identifying the salient points that dictate which is the safest, most efficient, and most versatile extraction method to employ, as well as describing in detail how each alternative is engineered Discussing the impacts that social and environmental issues have on mining from the pre-exploration phase to end-of-mine issues and beyond, and how to manage these two increasingly important factors to the benefit of both the mining companies and other stakeholders

Author: Andrew C. Isenberg
Publisher: Macmillan + ORM
ISBN: 0374707200
Category : History
Languages : en
Pages : 253

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Book Description
An environmental History of California during the Gold Rush Between 1849 and 1874 almost $1 billion in gold was mined in California. With little available capital or labor, here's how: high-pressure water cannons washed hillsides into sluices that used mercury to trap gold but let the soil wash away; eventually more than three times the amount of earth moved to make way for the Panama Canal entered California's rivers, leaving behind twenty tons of mercury every mile—rivers overflowed their banks and valleys were flooded, the land poisoned. In the rush to wealth, the same chain of foreseeable consequences reduced California's forests and grasslands. Not since William Cronon's Nature's Metropolis has a historian so skillfully applied John Muir's insight—"When we try to pick out anything by itself, we find it hitched to everything else in the universe"—to the telling of the history of the American West. Beautifully told, this is western environmental history at its finest.

Author: W. Scott Dunbar
Publisher: Society for Mining, Metallurgy, and Exploration, Incorporated
ISBN: 9780873353991
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
Explains complex mining concepts in a way simple enough for those who are not familiar with the industry, yet thorough enogh to be useful to long-time professionals. This colourful book presents a logical and sensible sequence for acquiring a strong working knowledge of the world of mining.

Author: Dave McCracken
Publisher: New Era Publications International Aps
ISBN: 9780963601506
Category : Gold mines and mining
Languages : en
Pages : 278

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Book Description
GOLD MINING IN THE 1990's--This one book outlines EVERYTHING a beginner will need & want to know about getting started at gold mining today, either as a hobby or as a small-scale commercial activity. In easy to understand language, supported by clear photographs & graphic demonstrations, this book covers all of the important subjects--including what gold is & looks like, where it comes from & where to find it, how gold deposits & how to find & recover it, & also touches on the legal aspects of how to claim the gold for yourself. The book covers the up-to-date mining procedures of panning gold, sluicing, dredging, high-banking, drywashing, electronic probing, hardrock mining, basic refining techniques, cleaning procedures, selling gold, & much, much more. Herein lies the most comprehensive & thorough work on electronic prospecting techniques (locating gold with metal detectors) available in any publication on the market today. Virtually an encyclopedia of modern gold mining techniques, there is no other book available more up to date, more simple to understand, or which covers the entire subject as thoroughly as this manual.

Author: Michael A. Heller
Publisher: Anchor
ISBN: 0385544731
Category : Business & Economics
Languages : en
Pages : 336

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Book Description
“Mine” is one of the first words babies learn, and by the time we grow up, the idea of ownership seems natural, whether we are buying a cup of coffee or a house. But who controls the space behind your airplane seat: you, reclining, or the squished laptop user behind you? Why is plagiarism wrong, but it’s okay to knock off a recipe or a dress design? And after a snowstorm, why does a chair in the street hold your parking space in Chicago, while in New York you lose both the space and the chair? In Mine!, Michael Heller and James Salzman, two of the world’s leading authorities on ownership, explain these puzzles and many more. Remarkably, they reveal, there are just six simple rules that everyone uses to claim everything. Owners choose the rule that steers us to do what they want. But we can pick differently. This is true not just for airplane seats, but also for battles over digital privacy, climate change, and wealth inequality. Mine! draws on mind-bending, often infuriating, and always fascinating accounts from business, history, courtrooms, and everyday life to reveal how the rules of ownership control our lives and shape our world.

Author: Ian H. Witten
Publisher: Elsevier
ISBN: 0080890369
Category : Computers
Languages : en
Pages : 665

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Book Description
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Author: Graham Williams
Publisher: Springer Science & Business Media
ISBN: 144199890X
Category : Mathematics
Languages : en
Pages : 382

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Book Description
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.