Remove Data Collection Remove Metadata Remove Statistics Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.

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The Role of Data Governance During A Pandemic

Anmut

This ongoing trade-off between reporting timely and accurate information strains the reliability of the data. In a time of uncertainty, it also pressures decision-making bodies even more into making the right decision. COVID-19 exposes shortcomings in data management.

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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models.

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