[MINI] Bayesian Updating
Data Skeptic27 Juni 2014

[MINI] Bayesian Updating

In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence.

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Avsnitt(601)

deepjazz

deepjazz

Deepjazz is a project from Ji-Sung Kim, a computer science student at Princeton University. It is built using Theano, Keras, music21, and Evan Chow's project jazzml. Deepjazz is a computational music ...

29 Apr 201629min

[MINI] Auto-correlative functions and correlograms

[MINI] Auto-correlative functions and correlograms

When working with time series data, there are a number of important diagnostics one should consider to help understand more about the data. The auto-correlative function, plotted as a correlogram, hel...

22 Apr 201614min

Early Identification of Violent Criminal Gang Members

Early Identification of Violent Criminal Gang Members

This week I spoke with Elham Shaabani and Paulo Shakarian (@PauloShakASU) about their recent paper Early Identification of Violent Criminal Gang Members (also available onarXiv). In this paper, they u...

15 Apr 201627min

[MINI] Fractional Factorial Design

[MINI] Fractional Factorial Design

A dinner party at Data Skeptic HQ helps teach the uses of fractional factorial design for studying 2-way interactions.

8 Apr 201611min

Machine Learning Done Wrong

Machine Learning Done Wrong

Cheng-tao Chu (@chengtao_chu) joins us this week to discuss his perspective on common mistakes and pitfalls that are made when doing machine learning. This episode is filled with sage advice for begin...

1 Apr 201625min

Potholes

Potholes

Co-host Linh Da was in a biking accident after hitting a pothole. She sustained an injury that required stitches. This is the story of our quest to file a 311 complaint and track it through the City o...

25 Mars 201641min

[MINI] The Elbow Method

[MINI] The Elbow Method

Certain data mining algorithms (including k-means clustering and k-nearest neighbors) require a user defined parameter k. A user of these algorithms is required to select this value, which raises the ...

18 Mars 201615min

Too Good to be True

Too Good to be True

Today on Data Skeptic, Lachlan Gunn joins us to discuss his recent paper Too Good to be True. This paper highlights a somewhat paradoxical / counterintuitive fact about how unanimity is unexpected in...

11 Mars 201635min

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