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John Wiley & Sons Limited
Все книги издательства John Wiley & Sons Limited
Аннотация
Discover a new hobby—or refine your existing techniques—with this practical coin collecting handbook In Coin Collecting For Dummies, professional rare coin dealer Neil Berman delivers a hands-on and fun guide to the intriguing hobby of numismatics —also known as coin collection! You'll learn how to buy, sell, grade, value, handle, and store your coins, as well as how to decide what kind of coins you should collect and how to assemble or diversify your collection. In this book, you'll also find out how to: Evaluate coins based on their age, condition, rarity, and more Navigate and make use of auction houses that deal in the buying and selling of rare coins Make the most of your new hobby by learning where to find rare coins and how to complete your collections There's no one «right» way to collect coins. But Coin Collecting For Dummies will show you how to avoid the most common pitfalls and take advantage of some handy tips, tricks, and best practices that make collecting coins even more fun and exciting. Perfect for the novice collector, or seasoned veterans looking for the latest news in coin grading and history, this book is a must-read for anyone interested in the fascinating world of coin collection.
Аннотация
Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.
