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In this blog post, learn how to process text using Python. → Read More
Let's talk about misleading communications in the digital era. → Read More
This article explains linear regression and how to program linear regression models in Python. → Read More
You might be wondering if machines are a threat to the world we live in, or if they’re just another tool in our quest to improve ourselves. If you think that… → Read More
Do you think your actions are the result of your own free choices? What if those actions are the inevitable and necessary consequence of antecedent states of… → Read More
Modern fake news has evolved into a complex organism, carefully designed to hide its deceptive mechanisms from any potential victim. But although the fake new… → Read More
Do you know how your apps work? Are you aware of what tech companies are doing in the back with your data? And what’s more revealing: do you know which of you… → Read More
Is Bitcoin the revolution against unequal economic systems, or a scam and money laundry mechanism? Will artificial intelligence (AI) improve and boost humanki… → Read More
Do you think your actions are the result of your own free choices? What if those actions are the inevitable and necessary consequence of antecedent states of affairs? What does this mean for your… → Read More
You might be wondering if machines are a threat to the world we live in, or if they’re just another tool in our quest to improve ourselves. If you think that AI is just another tool, you might be… → Read More
How fake news are spreading worldwide, how our mental models are designed to make us easy targets, and the dangerous digital future ahead of us. → Read More
This is a central aspect of Data Science, which sometimes gets overlooked. The first step of anything you do should be to know your data: understand it, get familiar with it. This concept gets even more important as you increase your data volume: imagine trying to parse through thousands or… → Read More
This is an overview of structuring, cleaning, and enriching raw data. → Read More
When we consider the complexity of an algorithm, we shouldn’t really care about the exact number of operations that are performed; instead, we should care about how the number of operations relates to the problem size. → Read More
Decision Trees (DTs) are probably one of the most popular Machine Learning algorithms. In my post “The Complete Guide to Decision Trees”, I describe DTs in detail: their real-life applications… → Read More
The next task in your calendar, the ranking position of your favorite sport team in the league, the contact list in your cell phone, all of these have an orde… → Read More
The next task in your calendar, the ranking position of your favorite sport team in the league, the contact list in your cell phone, all of these have an order. Order matters when we process… → Read More
If you want to start programming, I must admit that the outlook is not good: different operating systems, so many programming languages, and endless ways of reaching the same results. These are the… → Read More
A complete guide to K-means clustering algorithm Let’s say you want to classify hundreds (or thousands) of documents based on their content and topics, or yo… → Read More
Everything you need to know about a top algorithm in Machine Learning In the beginning, learning Machine Learning (ML) can be intimidating. Terms like “Gradi… → Read More