Learning

In a previous article, we’ve learned machine learning algorithms any AI enthusiast should know. Today, we’ve learned how to implement one of the most basic algorithms in Python. P.S. If you’re not into coding, go to settings and turn off notifications for “AI & Python” (leave the rest the same to keep receiving my other […]

Photo by Laurentiu Iordache on Unsplash Tokenization is a common task we have when working with text data. It consists of splitting an entire text into small units, also known as tokens. Most Natural Language Processing (NLP) projects have tokenization as the first step because it’s the foundation for developing good models and helps us better

Credit: Wikimedia Commons Hi! Here’s another reminder about the special 25% Substack discount for the annual plan. Click ​here​ to get an annual subscription to my Substack (by the way, annual subscribers can redeem up to 2 of my Udemy courses for free) The discount ends in two days. In a previous article, we learned

We’re continuing with out Behind AI series. I’ve just added a tab to the Artificial Corner site where you can follow all the editions of this series. Click here to see it. As someone who has been working with Excel for many years, I know that the idea of learning things you can already do

Although running a Python script using the terminal or your favorite text editor is straightforward, there are some situations in which you will prefer to hide all the code written in the script (.py) inside an executable file (.exe). Maybe you need to send the script to someone who doesn’t code at all or you

Photo by Daria Nepriakhina on Unsplash I’ve made a list of 5 books I read some years ago. I recommend reading them if you’ve been dabbling in data science, ML, or AI and would like to learn them from scratch. Also, the books are great for those with some previous knowledge of Python, statistics, or math