How neural network models in Machine Learning work?

This occurs as part of the cross validation process to ensure that the model avoids overfitting or underfitting. Supervised learning helps organizations solve a variety of real-world problems at scale, such as classifying spam in a separate folder from your inbox. Some methods used in supervised learning include neural networks, naïve bayes, linear regression, logistic regression, random forest, and […]

Natural Language Processing Semantic Analysis

We use Prolog as a practical medium for demonstrating the viability of this approach. We use the lexicon and syntactic structures parsed in the previous sections as a basis for testing the strengths and limitations of logical forms for meaning representation. The semantic analysis method begins with a language-independent step of analyzing the set of […]

Chatbots vs conversational AI: Whats the difference?

The key is ensuring any natural language processing models are set within organizational guard rails and trained to pull the value from conversational AI without unlocking unpredictable or off-brand communication. It is a digital assistant that can be used to converse with customers in natural language and reply to their questions or perform some other […]