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Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classificat...
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The new edition of this 1900pp reference is a complete guide to the latest advances in the diagnosis and management of dermatologic disorders for practising and trainee dermatologists. Divided into 35 sections, the book includes topics such as basic science, dermatopathology, paediatric dermatology, dermatologic surgery, pigmentation disorders, hair disorders, tumours, viral infections, and much more. A complete section is dedicated to cosmetic surgery. The fourth edition has been fully revised and updated, and includes new chapters on non-invasive diagnostic techniques, a range of psychocutaneous disorders, neurogenic skin diseases, paediatric dermatology, dermatologic surgery, and care in ...
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