Degunking Linux
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Degunking Linux
Linux has grown in popularity and is increasingly being adopted by home users and others who laud this nearly un-crashable, free operating system. But setting up a Linux OS can be tricky and time consuming. And managing a Linux system can be even more difficult if you don't have the right knowledge. Degunking Linux expertly shows readers how to save time (and money) by performing a number of important degunking tasks. With Degunking Linux's easy 12-step program, users will learn what Linux gunk is, how to keep their Linux desktop clean and organized, how to better manage personal and system-related files, how to make applications ran their best, how to get gunky and incompatible drivers and hardware to run smoothly, how to protect their precious data from dangerous viruses and hackers, how to clean up and improve Linux's security features, and much more. Linux users will learn the causes of sluggish performance and how to apply smart solutions to improve overall system performance.
Degunking EBay
Degunking(TM) eBay is the smart guide for buyers and sellers who want to really fine-tune and optimize their eBay experiences, regardless whether they are buying or selling products, or building an eBay-based business. Written in the conversational, no-nonsense approach that has made the Degunking(TM) series a huge success, this book can help save you tons of time and money with your eBay activities. It provides a wealth of valuable "clutter reduction" and organization tips for both buyers and sellers. Buyers will learn insider tips and tricks to search through massive amounts of product listings to find what they want, and then to bid and complete successful transactions. Sellers will learn how to assess their markets, find how to get the best price for their merchandise, and how to write attention-grabbing copy.Whether you are buying or selling, you'll get the best results if you have a winning strategy. Avid eBay-er and best-selling author Greg Holden will show you techniques for bidding that will greatly increase your chances of winning auctions. And he offers important information to help you avoid defective merchandise, problem sellers and scams, and where to turn if you do have a problem. eBay sellers will learn techniques for getting their items noticed, making their items look attractive in postings, marketing their products, degunking and streamlining eBay features for sellers, setting up clutter free up eBay Stores, and learning how to research and take advantage of the hot trends. This book gives all eBay users the opportunity to profit from their bursting closets and garages.
Data Science Quick Reference Manual – Methodological Aspects, Data Acquisition, Management and Cleaning
This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. First of a series of books, it covers methodological aspects, data acquisition, management and cleaning. It describes the CRISP DM methodology, the working phases, the success criteria, the languages and the environments that can be used, the application libraries. Since this book uses Orange for the application aspects, its installation and widgets are described. Dealing with data acquisition, the book describes data sources, the acceleration techniques, the discretization methods, the security standards, the types and representations of the data, the techniques for managing corpus of texts such as bag-of-words, word-count , TF-IDF, n-grams, lexical analysis, syntactic analysis, semantic analysis, stop word filtering, stemming, techniques for representing and processing images, sampling, filtering, web scraping techniques. Examples are given in Orange. Data quality dimensions are analysed, and then the book considers algorithms for entity identification, truth discovery, rule-based cleaning, missing and repeated value handling, categorical value encoding, outlier cleaning, and errors, inconsistency management, scaling, integration of data from various sources and classification of open sources, application scenarios and the use of databases, datawarehouses, data lakes and mediators, data schema mapping and the role of RDF, OWL and SPARQL, transformations. Examples are given in Orange. The book is accompanied by supporting material and it is possible to download the project samples in Orange and sample data.
