{"title":"Princeton Series In Modern Observational Astronomy","description":"\u003cp\u003eDelve into the cosmos with the Princeton Series in Modern Observational Astronomy. Explore cutting-edge techniques and groundbreaking discoveries shaping our understanding of the universe. Perfect for astronomy enthusiasts and researchers alike.\u003c\/p\u003e","products":[{"product_id":"essential-radio-astronomy-book-james-j-condon-9780691137797","title":"Essential Radio Astronomy","description":"Essential Radio Astronomy is the only textbook on the subject specifically designed for a one-semester introductory course for advanced undergraduates or graduate students in astronomy and astrophysics. 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Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.  An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.    Fully revised and expanded  Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets  Features real-world data sets from astronomical surveys  Uses a freely available Python codebase throughout  Ideal for graduate students, advanced undergraduates, and working astronomers","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49731826974993,"sku":"NGR9780691198309","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51005793141009,"sku":"NIN9780691198309","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ GOOD \/ SBYB","offer_id":51845659197713,"sku":"CIN0691198306G","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0691198306.jpg?v=1751448511"},{"product_id":"statistics-data-mining-and-machine-learning-in-astronomy-book-eljko-ivezi-9780691151687","title":"Statistics, Data Mining, and Machine Learning in Astronomy","description":"As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. 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