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The important conclusion from this research is that an algorithm that is constructed on the back of an envelope is often good enough to compete with an optimally weighted formula, and certainly good enough to outdo expert judgment. This logic can be applied in many domains, ranging from the selection of stocks by portfolio managers to the choices o
... See moreDaniel Kahneman • Thinking, Fast and Slow
Chris Best • An Algorithm for Quality
a relatively uninformed crowd could predict better than the firm’s best seers.
Michael J. Mauboussin • Think Twice: Harnessing the Power of Counterintuition
These behaviors are often the most valuable—it’s always a behavior that we seek to predict, and indeed behavior predicts behavior.
Eric Siegel • Predictive Analytics
Most applications of sentiment analysis are using a hybrid of machine and human work.
Joel Gurin • Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation (Business Books)
Erik Torenberg • Village Global's Venture Stories on Apple Podcasts
with most applications of predictive analytics (PA), Eric and Karrie’s system repurposes data.
Eric Siegel • Predictive Analytics
Computers are very, very fast at making calculations. Moreover, they can be counted on to calculate faithfully—without getting tired or emotional or changing their mode of analysis in midstream. But this does not mean that computers produce perfect forecasts, or even necessarily good ones. The acronym GIGO (“garbage in, garbage out”) sums up this p
... See moreNate Silver • The Signal and the Noise: Why So Many Predictions Fail-but Some Don't
I believe that data-driven organizations have to respect their users’ rights and sensibilities.