article thumbnail

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 123
article thumbnail

Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AI 

Snowflake

It is estimated that between 80% and 90% of the world’s data is unstructured 1 , with text files and documents making up a significant portion. Every day, countless text-based documents, like contracts and insurance claims, are stored for safekeeping. Neither stage requires any ML- or application-development experience.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Streamline RAG with New Document Preprocessing Features

Snowflake

As organizations increasingly seek to enhance decision-making and drive operational efficiencies by making knowledge in documents accessible via conversational applications, a RAG-based application framework has quickly become the most efficient and scalable approach. Until now, document preparation (e.g.

SQL 88
article thumbnail

An educational side project

The Pragmatic Engineer

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. Documenting the steps. Serving a web page.

Education 363
article thumbnail

Stream Processing with Python, Kafka & Faust

Towards Data Science

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. However, defining windows based on event time poses a greater challenge.

Kafka 98
article thumbnail

Key Process Groups In Project Integration Management

Knowledge Hut

While developing a project, the entire sub-processes are integrated to form a whole project, and that constitutes the concept called ‘project handling’. Project Integration Management consists of the 6 project integration management processes like Initiation, Planning, Execution, project monitoring , and control and closing of a project.

Process 98
article thumbnail

Unlocking Faster Insights: How Cloudera and Cohere can deliver Smarter Document Analysis

Cloudera

Document analysis is crucial for efficiently extracting insights from large volumes of text. For example, cancer researchers can use document analysis to quickly understand the key findings of thousands of research papers on a certain type of cancer, helping them identify trends and knowledge gaps needed to set new research priorities.