Mining New Gold-Managing Your Business Data PDF Download
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Author: Penny Jeffrey and Gillian Garbus
Publisher:
ISBN: 9781546205869
Category : Business & Economics
Languages : en
Pages : 136
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Book Description
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your company's future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Author: Penny Jeffrey and Gillian Garbus
Publisher:
ISBN: 9781546205869
Category : Business & Economics
Languages : en
Pages : 136
Get Book
Book Description
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your company's future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Author: Penny
Publisher: AuthorHouse
ISBN: 154620587X
Category : Business & Economics
Languages : en
Pages : 125
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Book Description
Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your companys future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Author: Tobias Baer
Publisher: Apress
ISBN: 1484248856
Category : Computers
Languages : en
Pages : 240
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Book Description
Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias
Author: Sudhi Sinha
Publisher: Packt Publishing Ltd
ISBN: 1783000996
Category : Business & Economics
Languages : en
Pages : 219
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Book Description
If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.
Author: Michael Ballé
Publisher: Lean Enterprise Institute
ISBN: 1934109290
Category : Business & Economics
Languages : en
Pages : 361
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Book Description
"Mike Woods urges his retired father into helping out a friend's failing company. But for Bob Woods, another struggle to introduce lean manufacturing quickly rehashes production battles that he's long since fought. And not even the senior Woods, son Mike, or friend Phil and his colleagues really grasp what's in store for them."--Cover.
Author: Don Durrett
Publisher: Ten Books Publishing
ISBN: 9781427650245
Category : Gold
Languages : en
Pages : 213
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Book Description
Written in clear layman's terms, this forward-thinking book is packed with information to help gold and silver investors navigate an exciting, timely, and largely unexplored market.
Author: Jack H. Morris
Publisher: University of Alabama Press
ISBN: 0817316779
Category : Business & Economics
Languages : en
Pages : 417
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Book Description
Details how Newmont Mining revolutionized the gold mining industry and remains the second largest gold miner in the world Jack H. Morris asserts that Newmont is the link between early gold mining and today’s technology-driven industry. We learn how the company’s founder and several early leaders grew up in gold camps and how, in 1917, the company helped finance South Africa’s largest gold company and later owned famous gold mines in California and Colorado. In the 1960s the company developed the process to capture “invisible gold” from small distributions of the metal in large quantities of rock, thereby opening up the rich gold field at Carlin, Nevada. Modern gold mining has all the excitement and historic significance of the metal’s colorful past. Instead of panning for ready nuggets, today’s corporate miners must face heavy odds by extracting value from ores containing as little as one-hundredth of an ounce per ton. In often-remote locations, where the capital cost of a new mine can top $2 billion, 250-ton trucks crawl from half mile deep pits and ascend, beetle-like, loaded with ore for extraction of the minute quantities of gold locked inside. Morris had unique access to company records and the cooperation of more than 80 executives and employees of the firm, but the company exercised no control over content. The author tells a story of discovery and scientific breakthrough; strong-willed, flamboyant leaders like founder Boyce Thompson; corporate raiders such as T. Boone Pickens and Jimmy Goldsmith; shakedowns by the Indonesian government and monumental battles with the French over the richest mine in Peru; and learning to operate in the present environmental regulatory climate. This is a fascinating story of the metal that has ignited passions for centuries and now sells for over $1,000 an ounce.
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: Peter Ghavami
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110664062
Category : Business & Economics
Languages : en
Pages : 174
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Book Description
Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
Author: Ken Withee
Publisher: John Wiley & Sons
ISBN: 0470606347
Category : Computers
Languages : en
Pages : 432
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Book Description
Learn to create an effective business strategy using Microsoft's BI stack Microsoft Business Intelligence tools are among the most widely used applications for gathering, providing access to, and analyzing data to enable the enterprise to make sound business decisions. The tools include SharePoint Server, the Office Suite, PerformancePoint Server, and SQL Server, among others. With so much jargon and so many technologies involved, Microsoft Business Intelligence For Dummies provides a much-needed step-by-step explanation of what's involved and how to use this powerful package to improve your business. Microsoft Business Intelligence encompasses a broad collection of tools designed to help business owners and managers direct the enterprise effectively This guide provides an overview of SharePoint, PerformancePoint, the SQL Server suite, Microsoft Office, and the BI development technologies Explains how the various technologies work together to solve functional problems Translates the buzzwords and shows you how to create your business strategy Examines related technologies including data warehousing, data marts, Online Analytical Processing (OLAP), data mining, reporting, dashboards, and Key Performance Indicators (KPIs) Simplifies this complex package to get you up and running quickly Microsoft Business Intelligence For Dummies demystifies these essential tools for enterprise managers, business analysts, and others who need to get up to speed.