Mining Jobs No Experience
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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 email@example.com
As data mining algorithms are typically applied to sizable volumes of high-dimensional data, these can result in large storage requirements and inefficient computation times.
This unique text/reference addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and time, while simultaneously providing the same or better classification accuracy, as illustrated using high-dimensional handwritten digit data and a large intrusion detection dataset.
Topics and features: presents a concise introduction to data mining paradigms, data compression, and mining compressed data; describes a non-lossy compression scheme based on run-length encoding of patterns with binary valued features; proposes a lossy compression scheme that recognizes a pattern as a sequence of features and identifying subsequences; examines whether the identification of prototypes and features can be achieved simultaneously through lossy compression and efficient clustering; discusses ways to make use of domain knowledge in generating abstraction; reviews optimal prototype selection using genetic algorithms; suggests possible ways of dealing with big data problems using multiagent systems.
A must-read for all researchers involved in data mining and big data, the book proposes each algorithm within a discussion of the wider context, implementation details and experimental results. These are further supported by bibliographic notes and a glossary."
If you are tired of having no response to your job applications... If you are frustrated at being rejected time and time again... Then, this book will be a miracle in your life. Let me show you a much better way to find a job. We are not going to be doing what every body else is doing to try to get a job. We are going on a very different route for you to find a job. Follow the unique secrets in this book and you will be successful in finding a job quickly and easily.
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Mining Jobs No Experience