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This textbook titled "Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps" provides a comprehensive guide to designing machine learning models. It covers a wide range of topics including data preparation, model building, and MLOps. The book is published by O'reilly, Incorporated in 2020 and written by Sara Robinson, Valliappa Lakshmanan, and Michael Munn.With 400 pages, this trade paperback is a valuable resource for anyone interested in designing machine learning models. It is available in English language, and its dimensions are 9.1in by 7in by 0.9in. The book is classified under the categories of textbooks, education and reference, and books and magazines.
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.