AI oriented physicist. Martial Artist, song-writer, professional-google-searcher. Contact me: piero.paialunga@hotmail.com
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Photo by Amanda Jones on Unsplash

Implementing a solitaire simulator and extracting the winning probabilities out of it, with few lines of (Python) codes

Italian guys love playing cards


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Photo by Raphael Lovaski on Unsplash

Here’s how to use Artificial Intelligence to write a song that doesn’t exist.

But it is possible to write music while coding?

Schedule:

  1. The theory (a small overview)


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Photo by James Day on Unsplash

Convolutional neural networks can help us in performing extremely important classifications for our communications, satellites, people. With 0 domain knowledge.


Here’s what I’ve learned as a data scientist working on climate change data

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Photo by Jacqueline Godany on Unsplash

Let’s get started.

Schedule:

  1. Overview
  2. Stationarity test
  3. Extreme events study
  4. Data modelling
  5. Conclusions

0. The Libraries:


Shot by Takahiro Sakamoto
Shot by Takahiro Sakamoto
Shot by Takahiro Sakamoto

A real example from astrophysics that shows you how to improve your models by using ensemble learning in a creative way


An interesting scenario where Principal Component Analysis components are actually easy to interpret, from astrophysics

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Courtesy of Emily Morter
  • A) The algorithm could take a massive amount of time and energy to perform
  • B) It could perform really badly


One way to prevent noise to affect your data driven projects

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Valentin Salja, from Unsplash (https://unsplash.com/@valentinsalja)

“The hardest part of getting what you want is figuring out what it is”


Is it possible to clean your data and forecast the new ones by only using a Fourier Transform? The answer is yes, maybe.

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Image by Jon Tyson https://unsplash.com/@jontyson


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A quantitative description of what overfitting is and how to avoid it, implemented in Python.

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