[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fER8roLZQ9IYxazj2agxUKczfEmo17X4ixsvM91pBCXk":3,"$f-12VfIxJCz_JM4pBvSlNiy0Ub8exSb639jy3zl6y0Og":12},{"author":4,"tags":11},{"author_id":5,"author_name":6,"author_name_first_letter":7,"article_count":8,"bio":9,"short_bio":9,"slug":10,"image_url":9},95791,"Christopher d. manning","C",2,null,"christopher-d-manning",[],{"quotes":13,"pagination":32},[14,26],{"id":15,"quote_text":16,"author_id":5,"source_id":8,"has_image":17,"author":18,"source":19,"quote_tag":20,"commentary":9},735693,"In principle, more analytic power can be achieved by varying multiple things at once in an uncorrelated (random) way, and doing standard analysis, such as multiple linear regression. In practice, though, A/B testing is widely used, because A/B tests are easy to deploy, easy to understand, and easy to explain to management.",false,{"id":5,"author_name":6,"slug":10,"author_name_first_letter":7,"article_count":8,"image_url":9},{},[21],{"id":22,"tag":23},3553639,{"id":24,"tag_name":25},19901,"2008",{"id":27,"quote_text":28,"author_id":5,"source_id":8,"has_image":17,"author":29,"source":30,"quote_tag":31,"commentary":9},725655,"With limited training data, a more constrained model tends to perform better.",{"id":5,"author_name":6,"slug":10,"author_name_first_letter":7,"article_count":8,"image_url":9},{},[],{"currentPage":33,"totalPages":33,"totalItems":8,"itemsPerPage":34},1,10]