Issues · k-iwanowski/Data-Science · GitHub

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Opinions on Interpretable Machine Learning and 70 Summaries

Machine Learning

#38

· k-iwanowski opened

on May 4, 2021

Paper: "Why should I trust you?" Explaining the Predictions of Any Classifier

Machine Learning

#37

· k-iwanowski opened

on May 1, 2021

Paper: Towards a Rigorous Science of Interpretable Machine Learning

Machine Learning

#36

· k-iwanowski opened

on Apr 30, 2021

Paper The Mythos of Model Interpretability

Machine Learning

#35

· k-iwanowski opened

on Apr 29, 2021

The Unreasonable Effectiveness of Mathematics in the Natural Sciences by Eugene Wigner

#34

· k-iwanowski opened

on Mar 4, 2021

MIT Deep-Learning Algorithm Finds Hidden Warning Signals in Measurements Collected Over Time

Machine Learning

#33

· k-iwanowski opened

on Jan 16, 2021

New Quantum Algorithms Finally Crack Nonlinear Equations

#32

· k-iwanowski opened

on Jan 9, 2021

Does GPT-2 Know Your Phone Number?

Machine Learning

#31

· k-iwanowski opened

on Jan 8, 2021

A Comprehensive Guide to Data Exploration

Machine Learning

#30

· k-iwanowski opened

on Jan 7, 2021

Resources to Supercharge your Data Science in 2021

Machine Learning

#29

· k-iwanowski opened

on Dec 31, 2020

10 Must-Know Statistical Concepts for Data Scientists

#28

· k-iwanowski opened

on Dec 31, 2020

Beyond One-Hot. 17 Ways of Transforming Categorical Features Into Numeric Features

Machine Learning

#27

· k-iwanowski opened

on Dec 31, 2020