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Evaluating Methods for Calculating Document Similarity

KDnuggets

The blog covers methods for representing documents as vectors and computing similarity, such as Jaccard similarity, Euclidean distance, cosine similarity, and cosine similarity with TF-IDF, along with pre-processing steps for text data, such as tokenization, lowercasing, removing punctuation, removing stop words, and lemmatization.

Process 99
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Creating a bespoke LLM for AI-generated documentation

databricks

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

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Best Practices for MLOps Documentation

KDnuggets

Whether it's an ML side project or adding a new feature to a enterprise production deployment, technical documentation throughout the MLOps lifecycle is vital in every project by increasing quality, transparency, and saves time in future development.

Project 123
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Making Intelligent Document Processing Smarter: Part 1

KDnuggets

This article attempts to measure the effect of various noises present in scanned documents on the performance of various APIs in the OCR segment.

Process 108
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Business Requirements Document Templates and Tips

Knowledge Hut

Many firms generate requirements documents to evaluate project demands and guide their teams. If you work as a project manager or business analyst, you may benefit from learning how to write a business requirements document. And you can learn all about writing a business requirements document by taking Business Analyst training online.

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The 5 Rules For Good Data Science Project Documentation

KDnuggets

Once data scientist finishes building the project, they will need to do the task that most of us hate that is documenting the code.

Project 111
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Classifying Long Text Documents Using BERT

KDnuggets

How can we use BERT to classify long text documents? Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”.

Designing 109