Breathing K-Means
Data Skeptic14 Maalis 2022

Breathing K-Means

In this episode, we speak with Bernd Fritzke, a proficient financial expert and a Data Science researcher on his recent research - the breathing K-means algorithm. Bernd discussed the perks of the algorithms and what makes it stand out from other K-means variations. He extensively discussed the working principle of the algorithm and the subtle but impactful features that enables it produce top-notch results with low computational resources. Listen to learn about this algorithm.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

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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 Huhti 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 Huhti 201614min

Early Identification of Violent Criminal Gang Members

Early Identification of Violent Criminal Gang Members

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[MINI] Fractional Factorial Design

[MINI] Fractional Factorial Design

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8 Huhti 201611min

Machine Learning Done Wrong

Machine Learning Done Wrong

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1 Huhti 201625min

Potholes

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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...

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[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 Maalis 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 Maalis 201635min

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