3 ms·

How to Measure Anything – Douglas Hubbard on the Artists of Data Science Podcast

harpreetsahota 6y ago
[00:01:36] Introduction for our guest today [00:02:59] Talk to us how you first got interested in measuring the intangibles? [00:05:14] What were some notable projects that you worked on during the early part of your career that helped you shape your philosophy of being able to measure anything? [00:09:20] What is applied information economics? [00:12:14] The importance of taking ideas from different domains and combining them in new days. [00:14:32] How do you see Data scientists benefiting from using the methodologies of applied information economics? [00:17:04] Where do you see the field of quantitative methodology headed in the next two to five years? [00:22:30] The difference between a decision models and predictive models [00:25:04] How to measure anything with Fermi decompositions [00:30:37] The three reasons people think something can’t be measured [00:38:16] Common misconceptions about statistics [00:41:52] Why is it so challenging for people to understand that concept of statistical significance and what it actually represents? [00:46:42] A purely philosophical interlude on Bayesian statistics [00:56:12] What’s the one thing you want people to learn from your story and from your work? [00:58:19] Jump into a quick lightning round. If you could meet any historical figure, who would it be? [00:58:38] What's the one thing you would say we truly cannot measure? [01:01:19] If you could have a billboard placed anywhere, what would you put on it? [01:01:25] What's the number one book, either fiction or nonfiction or even one of each that you would recommend our audience read, and what was your most impactful takeaway from it? [01:03:33] What is the best advice you have ever received? [01:04:42] Where can people find your books? [01:05:46] How can people connect with you? Where else can they find you online?

[00:01:36] Introduction for our guest today [00:02:59] Talk to us how you first got interested in measuring the intangibles? [00:05:14] What were some notable projects that you worked on during the early part of your career that helped you shape your philosophy of being able to measure anything? [00:09:20] What is applied information economics? [00:12:14] The importance of taking ideas from different domains and combining them in new days. [00:14:32] How do you see Data scientists benefiting from using the methodologies of applied information economics? [00:17:04] Where do you see the field of quantitative methodology headed in the next two to five years? [00:22:30] The difference between a decision models and predictive models [00:25:04] How to measure anything with Fermi decompositions [00:30:37] The three reasons people think something can’t be measured [00:38:16] Common misconceptions about statistics [00:41:52] Why is it so challenging for people to understand that concept of statistical significance and what it actually represents? [00:46:42] A purely philosophical interlude on Bayesian statistics [00:56:12] What’s the one thing you want people to learn from your story and from your work? [00:58:19] Jump into a quick lightning round. If you could meet any historical figure, who would it be? [00:58:38] What's the one thing you would say we truly cannot measure? [01:01:19] If you could have a billboard placed anywhere, what would you put on it? [01:01:25] What's the number one book, either fiction or nonfiction or even one of each that you would recommend our audience read, and what was your most impactful takeaway from it? [01:03:33] What is the best advice you have ever received? [01:04:42] Where can people find your books? [01:05:46] How can people connect with you? Where else can they find you online?