Machine Learning (ML) has significantly transformed various industries by enabling computers to learn and make decisions from data. From recommending products on e-commerce websites to diagnosing medical conditions, the applications of ML and Artificial Intelligence (AI) are as diverse as they are impactful.
ML is also highly useful when applied to audio, images, and videos. Examples include face recognition and image quality improvement, the latter of which was covered in two of my previous articles:
The recent advent of Large Language Models (LLMs) such as ChatGPT has demonstrated the power of ML for Natural Language Processing (NLP), another branch of AI where the task is to equip computers with the ability to understand text and speech with the same capabilities as humans — and sometimes, perhaps even better than some humans…
Different streams of AI can also be combined together when solving a problem. For instance, in a previous article, I used machine learning and ChatGPT to predict if a user of a mobile game app will stop playing in the coming days (a problem known as player churn):
AI and ML also have many applications in education, which arguably forms the foundations of many aspects in our day-to-day life. After all, good education ensures that the…