-L: List of supported IO plugins
-q: Exit after processing commands
-w: Write mode enabled
-i [file]: Interprets a r2 script
-A: Analyze executable at load time (xrefs, etc)
-n: Bare load. Do not load executable info as the entrypoint
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# -*- mode: ruby -*- | |
# vi: set ft=ruby : | |
# All Vagrant configuration is done below. The "2" in Vagrant.configure | |
# configures the configuration version (we support older styles for | |
# backwards compatibility). Please don't change it unless you know what | |
# you're doing. | |
Vagrant.configure("2") do |config| | |
# The most common configuration options are documented and commented below. | |
# For a complete reference, please see the online documentation at |
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<title>Running Async code Synchronously</title> | |
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- Linear transformation of
X
withY
isX . Y
- Transformation matrix is used to change direction, magnitude and sometimes both of the matrix
- As we look deeper into machine learning concepts, ability to transform a vector by only a factoring scalor is very useful
- Eigenvectors, is a scalar multiple of itself when multiplied by transformation matrix
- Eigenvalue, is the scalar multiple of eigenvector
- The first step is to find eigenvalues
- The vector only change in magnitude not in direction is represented by
1A . x̅ = λ . x̅
, whereA
is the transformation matrix,x̅
is the eigenvector andλ
is the eigenvalue