{"product_id":"9783319815008","title":"Studies in Big Data","description":"\u003ch1\u003eStudies in Big Data\u003c\/h1\u003e \u003ch2\u003eKramer, Oliver\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book\nintroduces numerous algorithmic hybridizations between both worlds that show\nhow machine learning can improve and support evolution strategies. The set of\nmethods comprises covariance matrix estimation, meta-modeling of fitness and\nconstraint functions, dimensionality reduction for search and visualization of\nhigh-dimensional optimization processes, and clustering-based niching. After\ngiving an introduction to evolution strategies and machine learning, the book\nbuilds the bridge between both worlds with an algorithmic and experimental\nperspective. Experiments mostly employ a (1+1)-ES and are implemented in Python\nusing the machine learning library scikit-learn. The examples are conducted on\ntypical benchmark problems illustrating algorithmic concepts and their\nexperimental behavior. The book closes with a discussion of related lines of\nresearch.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2018-05-30\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783319815008\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-319-33383-0\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 124\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45383303528588,"sku":"9783319815008","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783319815008.jpg?v=1775830157","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783319815008","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}