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Text mining

Dataconomy

Text mining is an ever-evolving field that offers businesses a powerful means to analyze vast amounts of unstructured text data. It’s fascinating how organizations harness advanced algorithms to transform raw text into actionable insights, helping them understand customer sentiments and market trends.

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Implementing Approximate Nearest Neighbor Search with KD-Trees

PyImageSearch

These scenarios demand efficient algorithms to process and retrieve relevant data swiftly. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. ANN algorithms are designed to quickly find data points close to a given query point without necessarily being the absolute closest.

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The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs

Flipboard

By Jayita Gulati on July 16, 2025 in Machine Learning Image by Editor In data science and machine learning, raw data is rarely suitable for direct consumption by algorithms. Feature engineering can impact model performance, sometimes even more than the choice of algorithm itself.

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How Dataiku and Snowflake Strengthen the Modern Data Stack

phData

With data software pushing the boundaries of what’s possible in order to answer business questions and alleviate operational bottlenecks, data-driven companies are curious how they can go “beyond the dashboard” to find the answers they are looking for. One of the standout features of Dataiku is its focus on collaboration.

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Augmented analytics

Dataconomy

Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis. It enhances traditional data analytics by allowing users to derive actionable insights quickly and efficiently.

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RAG and Vectorization: A Comprehensive Overview

Pickl AI

Vectorization: The Backbone of RAG Vectorization is the process of converting various forms of datasuch as text, images, or audiointo numerical vectors that can be processed by Machine Learning algorithms. Each vector represents specific features or characteristics of the data, allowing for efficient storage and retrieval.

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Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

The Rise of Augmented Analytics Augmented analytics is revolutionizing how data insights are generated by integrating artificial intelligence (AI) and machine learning (ML) into analytics workflows. Explosion of Internet of Things (IoT) Data The proliferation of IoT devices is generating unprecedented volumes of real-time data.