{"product_id":"practical-synthetic-data-generation-balancing-privacy-and-the-broad-availability-of-data-paperback","title":"Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data (Paperback)","description":"\u003cp style=\"margin: 0px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\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 style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\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 style=\"margin: -4px 0px 14px; padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eThis book describes:\u003c\/p\u003e\u003cul style=\"margin-top: 0px; margin-right: 0px; margin-left: 20px; padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\" margin-bottom:=\"\"\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eSteps for generating synthetic data using multivariate normal distributions\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eMethods for distribution fitting covering different goodness-of-fit metrics\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eHow to replicate the simple structure of original data\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eAn approach for modeling data structure to consider complex relationships\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eMultiple approaches and metrics you can use to assess data utility\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003eHow analysis performed on real data can be replicated with synthetic data\u003c\/li\u003e\n\u003cli style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003ePrivacy implications of synthetic data and methods to assess identity disclosure.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"margin: 0px 0px 0px 20px; overflow-wrap: break-word;\"\u003e \u003c\/p\u003e\u003ch3 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif\u003eAbout the Author\u003c\/h3\u003e\u003cdiv class=\"a-section a-spacing-small a-padding-small\" style=\"box-sizing: border-box; margin-bottom: 0px; color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\" padding:=\"\"\u003e\u003cdiv style=\"box-sizing: border-box;\"\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;\"\u003e\u003cstrong\u003eDr. Khaled El Emam \u003c\/strong\u003eis a senior scientist at the Children’s Hospital of Eastern Ontario (CHEO) Research Institute and Director of the multi-disciplinary Electronic Health Information Laboratory, conducting academic research on synthetic data generation methods, and re- identification risk measurement, and he is also a Professor in the Faculty of Medicine (Pediatrics) at the University of Ottawa.\u003c\/p\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;\"\u003e\u003cspan style=\"color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003eLucy Mosquera\u003c\/strong\u003e has a bachelor's degree in Biology and Mathematics from Queen's University and is a current graduate student in the department of statistics at the University of British Columbia. During her time at Queen's, Lucy provided data management support on a dozen clinical trials and observational studies run through Kingston General Hospital's Clinical Evaluation Research Unit. Lucy has also worked on clinical trial data sharing methods based on homomorphic encryption and secret sharing protocols. At Replica Analytics, Lucy is responsible for developing statistical and machine learning models for data generation, and integrating subject area expertise in clinical trial data into synthetic data generation methods, as well as the statistical assessments of our synthetic data generation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;\"\u003e\u003cspan style=\"color: rgb(17, 17, 17); font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cstrong\u003eDr. Richard Hoptroff \u003c\/strong\u003eis a long term technology inventor, investor and entrepreneur. Awarded a PhD in Physics by King’s College London for his work in optical computing and artificial intelligence, in 1992, together with Ravensbeck, he founded Right Information Systems, a neural network forecasting software company which was in 1997 sold to Cognos Inc (part of IBM). He then worked as a postdoc at the Research Laboratory for Archaeology and the History of Art at Oxford University and in 2001, created Flexipanel Ltd, a company supplying Bluetooth modules to the electronics industry.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50506175184966,"sku":"9788194435013","price":607.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/71Z2a5-xc8L.jpg?v=1790322055","url":"https:\/\/cb-india.com\/products\/practical-synthetic-data-generation-balancing-privacy-and-the-broad-availability-of-data-paperback","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}