20/02/2023
These articles are worth reading to keep up with the latest and classic breakthroughs in AI and Data Science
Artificial Intelligence (AI) is one of the fastest-growing fields of science, and one of the most sought-after skills in the last few years, commonly referred to as Data Science. This field has large-scale applications, usually divided by the type of input data: text, audio, image, video, or graph, as well as by the task setting: learning with a teacher, without a teacher, and reinforcement learning. Keeping track of all of this is a monumental effort that usually ends in a frustrating attempt. So I will give you a few reading recommendations to keep you on top of the latest and classic breakthroughs in AI and Data Science.
Although most of the articles listed process text and images, many of the concepts they outline rely little on input data and provide analysis far beyond machine vision and natural language processing tasks. For each recommendation, I have listed reasons why I think you should read (or reread) this article, and I have added some links for further reading if you want to dive a little deeper into this topic.
Before we begin, I want to apologize to the Audio and Learning with Reinforcement communities for not having articles on these topics on my list, as I have only a little experience in these areas.
