Data Skeptic

Data Skeptic

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

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The Police Data and the Data Driven Justice Initiatives

The Police Data and the Data Driven Justice Initiatives

In this episode I speak with Clarence Wardell and Kelly Jin about their mutual service as part of the White House's Police Data Initiative and Data Driven Justice Initiative respectively. The Police D...

6 Tammi 201749min

The Library Problem

The Library Problem

We close out 2016 with a discussion of a basic interview question which might get asked when applying for a data science job. Specifically, how a library might build a model to predict if a book will ...

30 Joulu 201635min

2016 Holiday Special

2016 Holiday Special

Today's episode is a reading of Isaac Asimov's Franchise.  As mentioned on the show, this is just a work of fiction to be enjoyed and not in any way some obfuscated political statement.  Enjoy, and h...

23 Joulu 201639min

[MINI] Entropy

[MINI] Entropy

Classically, entropy is a measure of disorder in a system. From a statistical perspective, it is more useful to say it's a measure of the unpredictability of the system. In this episode we discuss how...

16 Joulu 201616min

MS Connect Conference

MS Connect Conference

Cloud services are now ubiquitous in data science and more broadly in technology as well. This week, I speak to Mark Souza, Tobias Ternström, and Corey Sanders about various aspects of data at scale. ...

9 Joulu 201642min

Causal Impact

Causal Impact

Today's episode is all about Causal Impact, a technique for estimating the impact of a particular event on a time series. We talk to William Martin about his research into the impact releases have on ...

2 Joulu 201634min

[MINI] The Bootstrap

[MINI] The Bootstrap

The Bootstrap is a method of resampling a dataset to possibly refine it's accuracy and produce useful metrics on the result. The bootstrap is a useful statistical technique and is leveraged in Bagging...

25 Marras 201610min

[MINI] Gini Coefficients

[MINI] Gini Coefficients

The Gini Coefficient (as it relates to decision trees) is one approach to determining the optimal decision to introduce which splits your dataset as part of a decision tree. To pick the right feature ...

18 Marras 201615min

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