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Thales Sehn Körting

Thales

Thales Sehn Körting

A weekly Science podcast
Good podcast? Give it some love!
Thales Sehn Körting

Thales

Thales Sehn Körting

Episodes
Thales Sehn Körting

Thales

Thales Sehn Körting

A weekly Science podcast
Good podcast? Give it some love!
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Episodes of Thales Sehn Körting

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In this podcast I provide a detailed discussion of what is Data Science. In Part 2 I will continue...Follow my podcast: http://anchor.fm/tkortingSubscribe to my YouTube channel: http://youtube.com/tkortingThe intro and the final sounds were
Deep Learning articles use benchmarks to measure the quality of the results. However, several benchmarks do not have the copyright of all data used. So, how to believe that every paper uses the same benchmark?From https://www.go-fair.org/fair-
Several authors rely on transfer learning from pretrained models, arguing that using well-known datasets, which are available on the internet (e.g. ImageNet) their model will be able to handle a specific problem with a reduced training step.In
In this podcast I discuss the (sometimes) wrong use of the term Data Mining, with in accord to the paperFrom Data Mining to Knowledge Discovery in Databases, written in 1996 by Usama Fayyad, Gregory Shapiro, and Padhraic Smyth, is defined as:
In this podcast I discuss the wrong use of the term Resolution in scientific articles or in the general media. Resolution in Remote Sensing can be used to describe several aspects of images, such as:temporal resolution: the time difference b
I discuss the extensive use of the Table Strength of Agreement based on different Kappa values, provided by:Landis, J.R. and Koch, G.G., 1977. The measurement of observer agreement for categorical data. Biometrics, pp.159-174.According to Goo
I discuss the article from Doug Laney, published in 2001, entitled 3D Data Management: Controlling Data Volume, Velocity, and Variety. This paper is one of the basis for the definition of the term "Big Data". Curiously, the explicit term "Big D
I explain what is an unsupervised classification algorithm and what is a supervised algorithm. I use examples about remote sensing image classification and I discuss my opinion about the unsupervised algorithms, which are in fact similar to th
This is a first message to check if someone will find my podcast and will have interest on it.  Waiting for feedback on remote sensing, image processing, data mining, deep learning, data augmentation, sample selection, articles, papers, etc.Fo
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