Machine Learning Made Intuitive

<h2>What is Machine Learning?</h2> Sure, the actual theory behind models like ChatGPT is admittedly very difficult, but the underlying intuition behind Machine Learning (ML) is, well, intuitive! So, what is ML? <blockquote> Machine Learning allows computers to learn using data. </blockquote> But what does this mean? How do computers use data? What does it mean for a computer to learn? And first of all, who cares? Let’s start with the last question. Nowadays, data is all around us. So it’s increasingly important to use tools like ML, as it can help find meaningful patterns in data without ever being explicitly programmed to do so! In other words, by utilizing ML we are able to apply generic algorithms to a wide variety of problems successfully. There are a few main categories of Machine Learning, with some of the main types being supervised learning (SL), unsupervised learning (UL), and reinforcement learning (RL). Today I’ll just be describing supervised learning, though in subsequent posts I hope to elaborate more on unsupervised learning and reinforcement learning. <a href="https://towardsdatascience.com/machine-learning-made-intuitive-fabd26f97f19">Read More</a>