{"product_id":"practical-synthetic-data-generation-balancing-privacy-and-the-broad-availability-of-data-9781492072744","title":"Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data","description":"\u003cp\u003eBuilding and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data--fake data generated from real data--so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.\u003c\/p\u003e\u003cp\u003eData scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution.\u003c\/p\u003e\u003cp\u003eThis book describes: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSteps for generating synthetic data using multivariate normal distributions\u003c\/li\u003e\n\u003cli\u003eMethods for distribution fitting covering different goodness-of-fit metrics\u003c\/li\u003e\n\u003cli\u003eHow to replicate the simple structure of original data\u003c\/li\u003e\n\u003cli\u003eAn approach for modeling data structure to consider complex relationships\u003c\/li\u003e\n\u003cli\u003eMultiple approaches and metrics you can use to assess data utility\u003c\/li\u003e\n\u003cli\u003eHow analysis performed on real data can be replicated with synthetic data\u003c\/li\u003e\n\u003cli\u003ePrivacy implications of synthetic data and methods to assess identity disclosure\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/02\/2020\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781492072744\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 166\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.60lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.19h x 7.00w x 0.35d","brand":"Khaled El Emam, Lucy Mosquera, Richard Hoptroff","offers":[{"title":"Default Title","offer_id":36653586612380,"sku":"9781492072744","price":56.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_a3b578e9-ee9c-4f4e-9662-503c54c626d7.jpg?v=1603881973","url":"https:\/\/pastforward.org\/products\/practical-synthetic-data-generation-balancing-privacy-and-the-broad-availability-of-data-9781492072744","provider":"Past Forward","version":"1.0","type":"link"}