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analytics & machine learning

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book cover Data-Driven Organization

Data-driven organizations, machine learning for C-Suite, and healthcare success story.

14 November 2016By
1. Great stuff on data-driven decision making in a new O’Reilly book by Carl Anderson (@LeapingLlamas), Creating the Data-Driven Organization. Very impressive overview of the many things that need to happen, and best practices for making them happen. Runs the gamut from getting & analyzing the data, to creating the right culture, to the psychology...
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Game theory for Jeopardy!, evidence for gun control, and causality.

12 November 2016By
1. Deep knowledge → Wagering strategy → Jeopardy! win Some Jeopardy! contestants struggle with the strategic elements of the show. Rescuing us is Keith Williams (@TheFinalWager), with the definitive primer on Jeopardy! strategy, applying game theory to every episode and introducing “the fascinating world of determining the optimal approach to almost anything”. 2. Gun controls...
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Data blindness, measuring policy impact, and healthcare analytics.

29 September 2016By
1. Crowdsourcing → Machine learning → Micro, macro policy evidence Premise uses a clever combination of machine learning and street-level human intelligence; their economic data helps organizations measure the impact of policy decisions at a micro and macro level. @premisedata recently closed a $50M US funding round. 2. Data blindness → Unfocused analytics → Poor...
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analytics disconnected from strategy

Analytics disillusionment, evidence-based presentation style, and network analysis.

10 September 2016By
1. Visualizing networks. @Polinode builds innovative tools for network analysis. One nifty feature allows creation of column charts using a set of nodes. A recent post explains how to use calculated network metrics such as centrality or betweenness. 2. Analytics are disconnected from strategic decisions. An extensive study suggests analytics sponsors are in the trough...
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PepperSlice data-driven presentation

How Warby Parker created a data-driven culture.

4 September 2016By
1. SPOTLIGHT: Warby Parker data scientist on creating data-driven organizations. What does it take to become a data-driven organization? “Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply ingrained data culture,” says Carl Anderson. In his recent O’Reilly book Creating a Data-Driven Organization, he...
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earthquake map manmade

$15 minimum wage, evidence-based HR, and manmade earthquakes.

30 August 2016By
Photo by Fightfor15.org 1. SPOTLIGHT: Will $15 wages destroy California jobs? California is moving toward a $15/hour minimum wage (slowly, stepping up through 2023). Will employers be forced to eliminate jobs under the added financial pressure? As with all things economic, it depends who you ask. Lots of numbers have been thrown around during the...
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Baseball analytics and AI for actuary decisions.

21 July 2016By
1. What new analytics are fueling baseball decisions? [I spoke at Nerd Nite SF about recent developments in baseball analytics. -Tracy Allison Altman, Ed.] Highlights from my talk: – Data science and baseball analytics are following similar trajectories. There’s more and more data, but people struggle to find predictive value. Oftentimes, executives are less familiar...
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monitor showing code

The Cardinal Sin of data science, and cognitive bias in 5 easy steps.

20 July 2016By
1. Confusing correlation with causation is not the Cardinal Sin of data science, say Gregory Piatetsky (@kdnuggets) and Anmol Rajpurohit (@hey_anmol): It’s overfitting. Oftentimes, researchers “test numerous hypotheses without proper statistical control, until they happen to find something interesting and report it. Not surprisingly, next time the effect, which was (at least partly) due to...
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Academic clickbait, FCC doesn’t use economics, and tobacco surcharges don’t work.

13 July 2016By
1. Academics use crazy tricks for clickbait. Turn to @TheWinnower for an insightful analysis of academic article titles, and how their authors sometimes mimic techniques used for clickbait. Positively framed titles (those stating a specific finding) fare better than vague ones: For example, ‘smoking causes lung cancer’ vs. ‘the relationship between smoking and lung cancer’....
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Brain training isn’t smart, physician peer pressure, and #AskforEvidence.

30 June 2016By
1. Spending $ on brain training isn’t so smart. It seems impossible to listen to NPR without hearing from their sponsor, Lumosity, the brain-training company. The target demo is spot on: NPR will be the first to tell you its listeners are the “nation’s best and brightest”. And bright people don’t want to slow down....
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

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