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Clustering: How it Works (in Plain English!)

Dataiku

In the previous two posts in the How They Work (in Plain English!) Today, we’ll explore the most popular unsupervised learning technique, clustering.

IT 71
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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. A complementary Domino project is available.

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Natural Language in Python using spaCy: An Introduction

Domino Data Lab

This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Introduction.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Jet Global

Embedded analytics empowers your application with features like AI and natural language querying, allowing users to uncover hidden insights and ask questions of their data in plain English. Enable your users to uncover hidden patterns with advanced AI, predict trends with ease, and ask questions in plain English.