The Conference for Machine Learning Innovation

Kick-Start your Understanding of Machine Learning with Python

Session
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Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Infos
Tuesday, June 19 2018
10:00 - 11:00
Room:
Cuvilliés

This presentation shows how to quickly build Machine Learning applications with Python and how we can understand what is happening ‘under the hood’ using Python modules as well. Two examples will be presented: unsupervised and supervised learning for text classification.
It is fascinating how fast you can build a text analyzer with Python and Scikit to then apply unsupervised learning. A common approach is to first build numerical representations of the text, and then to apply standard statistical (or machine learning) techniques. I also wanted to know how the intermediate data looks like. Therefore, I built a little example that writes the internal data into an Excel file to better visualize and understand (down to the numerical values) how the feature extraction and the cluster building work together.
Another big benefit offered by Python are Deep Learning packages like Keras, which we use for a
supervised learning examples. You can quickly set up a complex neural network and have its construction, training and testing in less than 20 lines of code.

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This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session Diese Session originates from the archive of stammt aus dem Archiv von MunichMunich . Take me to the current program of . Hier geht es zum aktuellen Programm von Munich Munich , Singapore Singapore or oder Berlin Berlin .

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