{"product_id":"unsupervised-domain-adaptation-recent-advances-and-future-perspectives-9789819710270","title":"Unsupervised Domain Adaptation: Recent Advances and Future Perspectives","description":"\u003cp\u003e • Author(s): Jingjing Li | Lei Zhu | Zhekai Du\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003eUnsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":47658059530391,"sku":"9789819710270","price":13610.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789819710270.webp?v=1775816742","url":"https:\/\/atlanticbooks.com\/products\/unsupervised-domain-adaptation-recent-advances-and-future-perspectives-9789819710270","provider":"Atlantic Books","version":"1.0","type":"link"}