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Mining Jobs No Experience

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Steps To Finding A Job After College

RRP $17.99

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"Steps to Finding a Job After College" focuses on how to find a job in today's global society using millennial based tools and processes. While this book was written primarily for a United States audience it is not limited to that audience. In today's technological connected world massive global corporations have operations spanning the planet. Smart phones developed by companies in the USA are manufactured in China. Autos developed in Germany are manufactured in America and so on and so on, the hiring needs have become global. Also, while this book focuses on new college graduates and their job search, this book can also help those with job experience who want to or need to change careers. The only difference with the experienced hires is that they will find a much larger set of job openings than those just starting out. While there are both active and passive ways to find a job, this book focuses on active. Moving to a city, knocking on doors and handing them a resume was the pre-millennial way of actively searching for a job. In this book active is defined as successfully communicating and navigating with job databases to secure a face to face interview using an online tool like Skype. The job hunting world has changed. One of the most challenging elements of actively searching for a job is trying to locate companies that would not be thought of as needing your skill set. The author found while researching for this book that half the battle is thinking about those businesses that are not precisely known for hiring a person with your talents. Anyone with a librarian degree would most certainly search for jobs with the major libraries across America. Would that budding librarian also know to look in the industries such as the TV, Movie, Cloud Computing, and Data Mining, who are in need of people who have the skill sets to categorize, store and retrieve vast amounts of information? Would the new grad with a two year degree in Heating Ventilation and Air Conditioning (HVAC), know to search large manufacturing campuses that are listing open job requisitions for this skill set? Unfortunately, the process of matching open jobs with people looking for jobs is still pretty inefficient but with the understanding of how job hunting has changed and a lot of hard work, job openings can be found, applied to, and new careers started. Please feel free to contact me at dparrishbooks@gmail.com


Mining Very Large Databases With Parallel Processing

RRP $931.99

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Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms.
The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers.
It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science.
The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.


Consumption, Jobs And The Environment

RRP $274.95

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"Consumption, Jobs and the Environment "argues that the present pattern of development, based on everlasting economic growth, is completely unsatisfactory from a welfare point of view. It threatens ecological catastrophe while perpetuating poverty. Roy Carr-Hill and John Lintott propose an alternative policy framework based explicitly on welfare and suggest where cuts in consumption, working hours and ecological risks might be made most usefully.



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Mining Jobs No Experience





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