Courses
CBSE, Artificial Intelligence
2 courses published
Enrol to start learning
Reading is open to everyone. Enrolling is free, and it is what unlocks the audio lessons, practice tests and progress tracking.
CBSE 11 AI (Artificial Intelligence)
Natural Language Processing (NLP) is a vital subfield of Artificial Intelligence that enables interaction between computers and humans using natural language. It consists of two primary components: Natural Language Understanding (NLU), which involves comprehending language, and Natural Language Generation (NLG), which converts data into human language. Despite its applications in areas like chatbots and sentiment analysis, NLP faces challenges such as ambiguity and sarcasm, necessitating the use of libraries like NLTK and spaCy to aid implementation.
Class 11Grade 11CBSECBSE 12 AI (Artificial Intelligence)
Evaluating AI models is crucial for understanding their performance in real-world scenarios, including checking predictions, error rates, and ensuring fairness. Various methodologies such as confusion matrices, evaluation metrics, cross-validation, and ROC curves provide frameworks to assess model quality. These techniques not only help in selecting the best-performing models but also address issues of bias and fairness in AI applications.
CBSEClass 12Artificial Intelligence
