Ever wonder how computers might detect spam, discover sentiments in a product review, or guess a person’s favorite superhero? Or, perhaps you would like to know how a machine might differentiate dogs from fried chicken?
In my next post on Natural Language Processing (NLP) fundamentals, I discuss Maximum Entropy Classification, or MaxEnt for short.
In this post, learn about three fundamental tasks of HMMs, including a soft introduction to generative modeling.
Ever wonder how computers “recognize” what you said, just from your voice?
Hidden Markov Models (HMMs) are a modern way for computers to perform speech recognition!
Ever wonder how computers understand how to respond to simple commands, like “tell me a joke”?
Finite State Transducers (FSTs) can help computers do this, and more!
An introduction to a new blog series, Natural Language Processing Fundamentals
Nade's Notes 