When I first started programming, I considered big O(n) notation to be the single most intimidating aspect of programming. This formal system to characterize the performance of algorithms does not…
The well-supported adage is that it takes years to get a loyal customer and only seconds to lose them.
One of the biggest mistakes you can make is putting your customers’ personal information at risk.
Due to the state of current as well as future regulation, sensitive data breaches now result in big fines, and even after the fines have been paid the damage to your brand could be irreversible.
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Bigger the Footprint, Bigger the Risk
Hospitality, retailers, restaurants, and entertainment venues process and store a variety of personal customer information including Payment Card Industry (PCI) data which includes credit card information, names, addresses, phone numbers, personal preferences, and other sensitive information. Even with security measures in place, information often leaks out of secure systems.
Map and shrink your sensitive data footprint by:
Let assume the file name is emp_recs.csv and it is in ‘data’ folder. So we can refer this file as data/emp_recs.csv . Please install all need pip packages eg torch, transformers, pandas. If any…
I was recently out on a date with someone, and mentioned in casual conversation to the guy that my boss is smarter than most of the people I know. It wasn’t until some time had passed, and…
There once was a man who began learning React. He had just conquered what the developer wizards call, “vanilla Javascript.” The man learned that React was a javascript library, which was a cool way…