What's life really like on a fly-in-fly-out (FIFO) mine? In 2012, after touring his comedy shows through Europe, stand-up comedian Xavier Toby was broke and decided to take a job on a remote minesite to pay the bills. In his memoir, Mining My Own Business, Xavier Toby is onsite somewhere in Australia working in admin to pay off his credit card debt. Damo, Pando, Jonno, Robbo, Donk, Jokka and Dale are just some of the other blokes earning a crust, attending endless safety briefings, swapping tall tales and 'missing' the missus out there in the middle of nowhere. With Xavier, FIFO is not life on hold - it is life in hilarious overdrive.
Practical guide for organization leaders, top-level executives. Industry experts explain in clear, understandable English. What data mining and predictive analytics are
Aiming at building efficient radiology operations, this book walks the reader through the entire radiology workflow, from the moment that the examination is requested to the reporting of findings. Using their practical experience, the authors draw attention to the many elements that can go wrong at each step, and explain how critical analysis and objective metrics can be used to fix broken processes. Readers will learn how to measure the efficiency of their workflows, where to find relevant data, and how to use it in the most productive ways. The book also addresses how data can be turned into insightful operational information to produce organizational change. All aspects of radiology operations are considered including ordering, scheduling, protocols, checking-in, image acquisition, image interpretation, communication, and billing. The closing section provides a deeper dive into the advanced tools and techniques that are used to analyze operations, including queuing theory, process mining and artificial intelligence.
Want to start the small business of your dreams? Want to breathe new life into the one you already have? Small Business For Dummies, 3rd Edition provides authoritative guidance on every aspect of starting and growing your business, from financing and budgeting to marketing, management and beyond. This completely practical, no-nonsense guide gives you expert advice on everything from generating ideas and locating start-up money to hiring the right people, balancing the books, and planning for growth. You’ll get plenty of help in ramping up your management skills, developing a marketing strategy, keeping your customers loyal, and much more. You’ll also find out to use the latest technology to improve your business’s performance at every level. Discover how to: Make sure that small-business ownership is for you Find your niche and time your start-up Turn your ideas into plans Determine your start-up costs Obtain financing with the best possible terms Decide whether or not to incorporate Make sense of financial statements Navigate legal and tax issues Buy an existing business Set up a home-based business Publicize your business and market your wares Keep your customers coming back for more Track cash flow, costs and profits Keep your business in business and growing You have the energy, drive, passion, and smarts to make your small business a huge success. Small Business For Dummies, 3rd Edition, provides the rest.
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
