Data science is all about data, which inevitably also includes sensitive information about people, organizations, government agencies, and so on. Any confidential information must be handled with utmost care and kept secret from villains. Protecting privacy and squeezing out value from data are opposing forces, somewhat similar to securing a software system while also trying to optimize its performance. As you improve one you diminish the other. As data scientists, we must ensure both that data is properly protected and that our data science product is capable of fending off abuse as well as ...
9. Data Security
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