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DSPS #12 Linear functions for ML from scratch

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Hosted By
Michal H. and Miro
DSPS #12 Linear functions for ML from scratch

Details

Details

We learn about linear regression from the perspective of machine learning by implementing models and function from scratch in python (also numpy). We will have a short look on analytical and statistical approach too.

Learning goal

In this session we will learn about linear functions to get basic understanding about a role of linear functions in machine learning by implementing it from scratch.

Colab netebook

TBD

Speakers

Michal Harakal

Online event

This is a learning online event in english with a prepared content and an expected outcome.

We are looking for next speakers

Do you want to be a next speaker or do you want show us something interesting, what is related to topic of the group? Or just do you want to improve you presentation or communication skills. Its just an email away.

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