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The most famous kind of distribution and its relationship with the real world.
Measuring the variability!
A collection of practical tips and tricks to improve the gradient descent process and make it easier to understand.
It's time to put together the gradient descent with the cost function, in order to churn out the final algorithm for linear regression.
How to find the minimum of a function using an iterative algorithm.
A solution that pleasantly works out of the box.
Carefully crafted for the absent-minded.
What are the most famous stock metrics and how to translate them into something useful to humans.
Two ways of defining type aliases for a smarter code.
A brief tour into the realm of writing C/C++ applications, the role of the Standard Library and how it is implemented in various operating systems.
Experiments on the fundamental theorem that explains why many distributions tend to be close to the normal distribution.
A lightweight introduction to a couple of basic C++ features that act as a foundation for bigger structures.
Overfitting makes linear regression and logistic regression perform poorly. A technique called "regularization" aims to fix the problem for good.
Preparing the logistic regression algorithm for the actual implementation.
Say you have a website running on Linux. What are the correct permissions for the folder that contains the HTML, CSS, images, JavaScript files and so on?
Basic Vim commands I keep forgetting.
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A series about machines that do more than one thing at a time, their philosophy, what technologies are available and how to get the best out of them.
From routing to IP addressing, a look at the protocol that gives life to the Internet.
The official rules that allow computers to communicate over the Internet.
“Is that thing still around?” — Homer Simpson
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