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machinelearning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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igel
ssimontacchi
ssimontacchi commented Jun 20, 2020

Hi, Thanks for the awesome library!

So I am running a Kmeans on lots of different datasets, which all have roughly four shapes, so I initialize with those shapes and it works well, except for just a few times. There are a few datasets that look different enough that I end up with empty clusters and the algorithm just hangs ("Resumed because of empty cluster" again and again).

I conceptually

Andrew-Chen-Wang
Andrew-Chen-Wang commented Jan 27, 2021

Video detection for large videos takes quite a bit of time, and it's not really feasible in a server setting (even just testing on my laptop, the memory consumption was a bit of a concern). So recommendations that should be pretty easy to implement:

  1. Instead of preprocessing all the frames beforehand, do it in batches and find the score. If a given threshold is not met, then preprocess the ne
retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

  • Updated Aug 20, 2021
  • Python

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

  • Updated Aug 20, 2021
  • Python
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