Blog News

08/27/2016

new numpy/scipy recipe

It has been a while, but finally there is a new note on numpy/scipy recipes ...

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02/09/2016

Lecture "Deep Learning for Multimedia Pattern Recognition", Summer 2016

Starting on 12 April 2016, I will give a lecture course on deep learning for multimedia pattern recognition. The lecture will cover both theory and numerous practical applications.

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11/10/2015

numpy / scipy recipes for data science

The nearest neighbor problem frequently arises in may areas of data science. In this short note, we show how to efficiently tackle it in numpy.

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11/04/2015

new didactic videos on algorithms in data science

There are several new videos illustrating how k-means clustering and its variants behave in practice.

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11/04/2015

numpy / scipy recipes for data science

Data scientists frequently need to compute the eigenvalues and eigenvectors of data covariance matrices. We therefore discuss appropriate ways of how this can be done using numpy/scipy.

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10/30/2015

numpy / scipy recipes for image processing

In addition to the series on numpy/ scipy recipes for data science, I have also started a series on the use of numpy / scipy in image processing ...

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07/17/2015

Lecture "Speech Technology", Summer Semester 2015

In this lecture we give a broad overview of the field of speech technology including speech and speaker recognition, machine translation, dialogue system and retrieval applications. The lectures will be given by Joachim Köhler, Daniel Stein and Tiansi Dong.

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04/13/2015

Lecture "Machine Listening", Summer 2015

My lecture on machine listening returns in summer 2015.

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04/05/2015

numpy / scipy recipes for data science

more python code for data scientists: basic and advanced least squares techniques

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02/21/2015

numpy / scipy recipes for data science

A new note on the use of numpy / scipy for data science is now available.

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