Predictive Modeling and Machine Learning
summary
Argues that companies are still in the infancy of extracting value from granular data and that the big wins are organizational not algorithmic: data storage is affordable but the bottleneck is scarce data science talent, especially people who combine hacking skills with domain dialogue. Warns against over-optimizing for clicks because it confuses intent with visibility, recommends maintaining and correlating multiple metrics, and says the one irreplaceable hire trait is intellectual curiosity and skepticism rather than a specific degree.
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