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Engineer trying to implement technology for a positive impact

A place for information, hype, shock-and-awe, or all the above

Origins of Whitepapers

Whitepapers can be rooted in two particular trees and in theory, have similar properties. Both in government and in private industry whitepapers are drafted and published as a report or guide to provide information in a concise manner largely about complex issues. Typically subject matter experts (SMEs) largely write very detailed reports about subjects that need to be understood by policymakers, investors, and/or the public. Whitepapers became the de facto method of communication of subject matter experts to the public about the subjects they write about. The origin of the…


A place to learn the theory behind the tech

Purpose:

With the growing interest in the blockchain and cryptocurrency space reaching new heights week by week, I wanted to create a space that focuses on helping others interested in this space to take a dive into the whitepapers that each project releases and to go over:

  • How does their technology work?
  • What makes it unique and innovative?
  • Take complex theory and subjects and write them out in a simple to digest forms for those who may not be as technically literate.

Content to Expect:

I will be reviewing and highlighting the main points in…


Developing an index-based prediction approach with Random Forests

One of the most commonly attempted problems that machine learning and data science are typically applied to is to understand and predict financial markets. With any previous experiences, one would come to agree that it is EXTREMELY hard to predict any markets, be it securities (or stocks), bonds, or (even more tricky) cryptocurrencies. One particular reason is that there are so many factors and dynamics involved that make capturing snapshots in data and modeling against it pretty tough. In this article, I’m going to try and walk through some of the logic and developments that I made in attempting to…


Detailing the purchase and building of the mining rig and firing it up

Background

Starting this personal project of learning more about crypto mining I have documented in a couple of Medium articles to highlight factors to consider if you’re interested to get started. Having cool ideas and taking them to fruition and actually doing them is always hard. I try to highlight the pros and cons in the below article, hopefully getting you over the hump.

This second article is more about the different aspects of building the rig an what is important in building your part list and things to consider. …


What’s important and why when building your rig

Fear of Starting? Don’t Fret

If you are looking to build your first mining rig and may not have vast experience building something mine cryptocurrency, don’t fret. I just started and it wasn’t that painful and with all the required parts and no past custom computer building experience I was able to do complete the build and get the software running in about 3.5 hours. So don’t stress if you think past experience or being tech-savvy is necessary… How cool is it to build a machine that generates passive income and can pay itself off and make a profit at the end of the day…


Documenting the complete process of how I made the leap to start mining for Cryptocurrency

Background Before Deciding to Mine

In all honesty, those that know me really well know that I’m a pretty risk-averse individual both personally and professionally (since in my industry one bad event is enough to cost tons of money). The first time I heard about Crypto mining was many years ago during the last 2017 bull run and I really didn’t think that cryptocurrency and blockchain technology at the time really did anything. The crash after that bull market helped make me feel that my original prejudices were true and that it was merely a speculative vehicle for people trying to ‘get rich quick’. Little…


Queues and Heaps are fundamental building blocks of developing sequences in programming

Queues are something intrinsic to humans as when we need to do something and it’s busy you usually have to wait in a queue or line of some sort. In Python and other programming languages, queues and heaps are a way to build sequential lists of objects and a tidy way to keep them in order. For programs that are time- or sequence-dependent, queues and heaps are ideal ways to capture this type of information to flow through the required processes of the program.

What is a Priority Queue?

In Python, a priority queue is a special type of data structure that holds a collection…


Think about the impact of how the internet shares information, blockchain will do the same for the exchange of value!

Since Bitcoin has emerged on the scene well over a decade ago, little do people understand the actual impact and ramifications that came along with its inception and implementation. A common misunderstanding of what makes Bitcoin so special is that it is “digital gold”, but the technology that enables it to work is truly its secret sauce. The actual engine behind why Bitcoin can be a store of value is the technology called blockchain that enables it to keep, track, and maintain its value. Blockchain technology has the ability to serve multiple purposes as you can see with the variety…


A primer for the basic libraries and places to pull data for diving into the world of analyzing trading data in Python

Python has been around for nearly three decades and is still rising in popularity. It’s absolutely something you should learn.

Unfortunately, learning where to start is usually the hardest part of anything, but in this article, we will visit some of the important Python libraries that you can rely on to begin analyzing the various markets. I think you can break down libraries for algorithmic trading into two principal groups:

  1. Data Sources— There are a couple of different flavors of data when it comes to algorithmic trading: market, fundamental, and alternative. …


What you need to know as graph theory adoption continues to take off

In programming and mathematical terms, graph theory is really nothing new, but the implementation and usage of it in code has grown in advances in Machine Learning and AI. One big reason for this is that advances in computing power to power large-scale models allow for complex models to be developed that can represent relationships between anything. One of the most famous and early implementations in tech of Graph Theory is Google’s Page Rank algorithm. The Page Rank algorithm was the initial version of Google’s searching algorithm and is rooted in graph theory and is based on an efficient way…

Miguel Saldana

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