Mining Jobs No Experience
"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 firstname.lastname@example.org
Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.
This book critically examines the proper role of the law in protecting job security in the contemporary workplace. It provides a historical, theoretical, practical and comparative perspective on this under-researched, but fundamentally important, legal mechanism at a time when the pressure to deregulate and dilute worker-protective laws has taken on increased importance. The volume critically analyses both statute and case law from three advanced industrialised liberal democracies with a common law foundation, the UK, Australia and the USA, to understand the extent to which job security is realised. By applying a common approach and a conceptual framework that emphasises the complex relationships between law, the economy and society to analyse a series of national studies, the book is also designed to draw upon the insights of comparative analysis to deepen our understanding of the limits and possibilities of legal regulation of job security. The national case studies are supplemented by research that focuses on how supra-national organisations such as the International Labour Organisation, the Organisation for Economic Cooperation and Development and the European Union have sought both to develop and disseminate new legal norms around the practices and processes of dismissal. This study critically analyses and assesses the adequacy of the international regulatory framework for protecting the rights of employees in the dismissal process.
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Mining Jobs No Experience