Unleashing the Power of Maximum Likelihood Estimates for Next-Word Prediction
Maximum Likelihood Estimate (MLE) is a fundamental method that allows Machine Learning models to uncover unique patterns from the available data. In this blog post, we will delve into the concept of Maximum Likelihood Estimates by applying them to the next-word prediction conundrum, providing intuitive explanations along the way.
Note: This article will touch upon topics from Probability and Machine Learning theory. Rest assured, I will strive to keep the content accessible and provide links for further reading on key concepts as needed.
Imagine the convenience of a smart keyboard that anticipates your next word as you type. These predictions improve with each interaction, streamlining your communication efforts. Likewise, search engines rely on predictive text to enhance user experience, guiding users towards relevant results. Have you ever paused to ponder the mechanics behind these predictive algorithms?