Deepfakes blink first

UNKNOWN UNKNOWNS
Why Are Machine Learning Projects So Hard to Manage?
“I’ve watched lots of companies attempt to deploy machine learning—some succeed wildly and some fail spectacularly. One constant is that machine learning teams have a hard time setting goals and setting expectations. Why is this?” - Lukas Biewald

LIVE AND LEARN
Learning From Eight Years of Data Science Mistakes
This talk covers mistakes made during analyses (including communication when delivering results) team and infrastructure mistakes, plus some advice for incoming data scientists. - rstudio::conf 2019

THINK SMALL
Minimally Sufficient Pandas
Limiting Pandas to a small subset can keep your focus on the actual data analysis and not on the syntax. This detailed guide offers a single approach to completing a variety of common data analysis tasks. - Dunder Data

A NEW CHALLENGER APPEARS
The Analytics Engineer
In the shifting landscape of analytics, another role rises: someone whose job is to build tools and infrastructure to support the efforts of the analytics and data team as a whole. - Locally Optimistic

BLINK AND YOU’LL MISS IT
The Best Defense Against Deepfake AI Might Be … Blinking
Researchers can now detect AI-generated fake video with a 95% success rate. Because few images are available online showing people with their eyes closed, there’s less training data available for deepfakes to get natural blinking right. - Fast Company

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