Let's explore what happens when a researcher submits a job to an HPC environment. How can we improve research methodology and collaboration?
AI is very used today, but is AI keeping knowladge hidden? Which are the risks for the future?
How important is data? How is trustablity of data correlated to the deontology?
Let's explore all the causes that will bring the end of Bitcoin. Will it eventually die?
Let's explore the main characteristics of a Feedforward Neural Network and how it works.
Simple explanation of the main biases that we can find in reasoning in research, articles, discussions and speeches.
Not always having more parameters means high reliability of the model. Let's see why.
How to apply the multi linear regression to obtain the reference data. Let's find out together!
Denoising of data usins two different approach: low-rank approximation and Gavish et al. method. Which will be the best?
A short introduction on basic concepts used in ML, introduction to Algebra, Spectral Decomposition and SVD
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