Why is one-hot encoding used for the output labels in training the AI model?
Saturday, 05 August 2023
by EITCA Academy
One-hot encoding is commonly used for the output labels in training AI models, including those used in natural language processing tasks such as training AI to create poetry. This encoding technique is employed to represent categorical variables in a format that can be easily understood and processed by machine learning algorithms. In the context of
Explain the process of encoding a sentence into an array of numbers using the bag of words approach.
Wednesday, 02 August 2023
by EITCA Academy
The process of encoding a sentence into an array of numbers using the bag of words approach is a fundamental technique in natural language processing (NLP) that allows us to represent textual data in a numerical format that can be processed by machine learning algorithms. In this approach, we aim to capture the frequency of
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Expertise in Machine Learning, Natural language processing - bag of words, Examination review
Tagged under:
Artificial Intelligence, Bag-of-Words, NLP, One-hot Encoding, Preprocessing, Text Classification
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