Technical Papers

How AI Works

The growing literature about Artificial Intelligence doesn't often get down to the essentials about how it works. Here we'll offer published articles from both our team and select authors from other companies who offer some insight about how the magic happens. 

Inspyred: Solving Optimization Problems with Python

By Caio Carneloz

A2Go Data Science Coordinator

Inspyred is a Python library that provides bio-inspired algorithms in a simple and easy-to-use way. This guide will help you use and understand it to solve optimization problems by approaching the Particle Swarm Optimization algorithm. The project developed on this guide is available at Github.

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A Simple Introduction to Semi-supervised Learning

By Caio Carneloz

A2Go Data Science Coordinator

Semi-supervised learning is a kind of classification that combines labeled with unlabeled data. The main reasons for using it are the lack of labeled data, due to the labeling process being expensive and time-consuming, and the lack of testing in some countries such as Brazil.

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Your Processor Is Trying to Predict the Future Long Before You Start with AI

By Caio Carneloz

A2Go Data Science Coordinator

If you have ever studied computer architecture, you probably know the basic steps the hardware takes to execute a certain routine. If you don't, here is a brief explanation about this process.

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What Is Machine Learning?

By Daniel Nelson

Unite.AI Researcher/Journalist

 

Despite how often the words “machine learning” are tossed around, it can be difficult to understand what machine learning is, precisely. It doesn’t refer to just one thing; it’s an umbrella term that can be applied to many different concepts and techniques.

Understanding machine learning means being familiar with different forms of model analysis, variables, and algorithms. Let’s take a close look at machine learning to better understand what it encompasses.

(Posted with permission)

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What Is Big Data?

By Daniel Nelson

Unite.AI Researcher/Journalist

Here’s a quick, simple definition of big data. It's data that is too large and complex to be handled by traditional data processing and storage methods. While that’s a quick definition you can use as a heuristic, it would be helpful to have a deeper, more complete understanding of big data. Let’s take a look at some of the concepts that underlie big data, like storage, structure, and processing.

(Posted with permission)

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