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Updates from:
- https://github.com/jacobhilton/deep_learning_curriculum (focus on transformers)
- Raschka book
1. Math prerequisites
Taking a derivative to find a point of minimum or maxim…
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Which of the following is a key difference between statistics and machine learning?
Select one:
- A. Statistics is based on assumptions whilst machine learning is not
- B. Statistics is used in…
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| Team Name | Affiliation |
|---|---|
| NeuroChad | University of Wroclaw;University of Wroclaw |
- Paper: [LEARNING ROBUST REPRESENTATIONS BY PROJECTING SUPERFICIAL STATISTICS OUT](https://openrevi…
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Learning statistics involves changing your concepts or learning new concepts about statistics.
See article from Vosniadou in README
TiSli updated
6 years ago
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Analysis of real-time domestic consumer data and industrial electrical energy consumption data, providing valuable insights for decision-making & using mathematics, statistics, predicting report.
Con…
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When creating a character's backstory and statistics, add a section to assign permanent health-related disadvantages, stuff like heart-problems (caffeine highly increases chances of death), lactose in…
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In some cases, when there are categorical predictors, imputation fails. I give here a an example, with the stochastic imputer but my guess is that is comes from an improper encoding of categorical var…
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### What is your article idea?
#### The context
This tutorial article guides developers in building a **Learning Management System** for an online school using Strapi CMS.
In this tutorial, dev…
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I was working through the lectures for the Foundations of Machine Learning tutorial and cloned the Jupyter notebook into my local instance of VS Code. Simple fix is to add `using Statistics` before `…
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Please make it possible to return the best learning rate without making a plot.
I suggest you refactor some code and pull the calculation of statistics out of the plotting function.
I think all …