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This is Internal Pointers. It's a place where I collect all the knowledge I'm gathering through my existence. I've found that writing down things in a well-formatted fashion helps me to better fix ideas in my mind. Topics will range between Mathematics, Information Technology, Finance, Psychology and any other scientific subject that tingles my mind. I don't want to teach you anything within these pages, but if you find something useful you are free to share it. All feedback are welcome.
— Triangles, May 2015
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articles series
Everything I wanted to know about public companies, their shares and what one can do with them.
Wandering through the field of study that gives computers the ability to learn without being explicitly programmed. Mainly based on Machine Learning course @ Coursera.
latest articles
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. written on February 26, 2018
My VirtualBox guest OSes always run out of space. written on January 06, 2018
A nice way to group some changes together, especially before sharing them with others. written on November 17, 2017
Preparing the logistic regression algorithm for the actual implementation. written on October 29, 2017
All the best Docker commands that I keep forgetting. written on October 05, 2017
How to reduce the size of a PDF that originated from a scanned document. written on September 16, 2017
Having multiple OSes on a single machine is convenient. It is also great to choose what OS to boot on startup. written on September 12, 2017
Get your feet wet with another fundamental machine learning algorithm for binary classification. written on July 17, 2017
You have just ripped a movie from a DVD and you want to store it in a compressed format with multi-language audio tracks, subtitles and high quality video. written on July 09, 2017
Mutual funds version 2.0! written on May 07, 2017
A collection of practical tips and tricks to improve the gradient descent process and make it easier to understand. written on April 01, 2017
A cool alternative to the C way of having static global variables. written on March 18, 2017
How to upgrade a linear regression algorithm from one to many input variables. written on March 05, 2017
It's time to put together the gradient descent with the cost function, in order to churn out the final algorithm for linear regression. written on February 18, 2017
How to find the minimum of a function using an iterative algorithm. written on February 05, 2017