Data Science Archives - Page 3 of 7 -

How to Predict Prices in Manufacturing with Predictive Analytics: A Complete Guide

How to Predict Prices in Manufacturing with Predictive Analytics: A Complete Guide August 04, 2025 at 05:41 PM | Est. read time: 10 min By Bianca Vaillants Sales Development Representative and excited about connecting people Predicting prices in manufacturing is no longer a guessing game. With the rise of predictive analytics, manufacturers can now forecast […]

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Named Entity Recognition (NER): Methods, Use Cases, and Key Challenges Explained

Data Science /

Named Entity Recognition (NER): Methods, Use Cases, and Key Challenges Explained July 08, 2025 at 11:52 AM | Est. read time: 9 min By Bianca Vaillants Sales Development Representative and excited about connecting people In a world dominated by data, making sense of unstructured text is one of the biggest challenges — and opportunities —

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Predictive Analytics: develop strategies for your future based on data

Data Science /

Discovering what the future holds has never been as possible as it is today! With predictive analytics, your organization can not only understand the present but also predict future trends and behaviors. This tool, which combines data, statistics, and machine learning, helps guide strategic decisions: from optimizing operations to personalizing service offerings. The truth is

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How to develop solid Data Architecture

Data Engineering, Data Science /

Data architecture is the cornerstone of the Data Engineering field and the foundation for your entire analytical strategy. This is because it creates the necessary structure to gather information and analyze it efficiently. Without a solid architecture, many difficulties arise along the path to understanding and improving your business. And that’s not all! With the

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Data Privacy in the Age of Artificial Intelligence: what you need to know!

Artificial Intelligence, Data Science /

In today’s rapidly evolving technological landscape, where Artificial Intelligence (AI) is driving transformative innovations across industries, data privacy has become the cornerstone of safeguarding your digital assets. With AI advancing at an exponential rate, the need to protect sensitive data has never been more critical. In this digital age, where personal and organizational data is

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What are Convolutional Neural Networks?

Data Science /

Convolutional Neural Networks (CNNs) are a cornerstone of modern image analysis, drawing inspiration from the way the human brain processes visual data. By leveraging layers of interconnected nodes, CNNs excel at identifying patterns, features, and structures within images. This capability enables them to perform complex tasks such as facial recognition, object classification, image segmentation, and

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What’s the importance of Data Science in businesses?

Data Science /

As organizations adapt to the ever-changing digital world, they use data science not only to outpace their competitors but to establish themselves in their market niche. To keep up with the fast pace and evolving demands of their businesses, organizations must invest in research techniques. A good example of using data science in companies is

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Generative AI: Transforming Data Science

Artificial Intelligence, Data Science /

Data science (DS) and artificial intelligence (AI) are revolutionizing industries by enabling companies to harness the power of data to make smarter decisions, optimize processes, and predict future outcomes. At the forefront of this transformation is generative AI, an innovative branch of AI that is reshaping how we approach problem-solving, creativity, and automation. While data

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How to use clustering techniques in a Data Science project

Artificial Intelligence, Data Science /

Clustering, or grouping data based on similarities, is a powerful way to categorize information, making it easier to uncover hidden patterns in large datasets. Clustering organizes data points into groups, or “clusters,” where similar data is grouped, while dissimilar data is separated into clusters. This approach is part of what’s known as unsupervised machine learning,

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Fine-Tuning an OCR Model: what it is, why it’s important, and how to do it

Data Science /

Optical Character Recognition (OCR) is a technology that transforms images of text into editable and searchable text. With the increasing digitalization of documents—from contracts to receipts and reports—OCR has become an essential tool for automating the organization and analysis of information. However, standard OCR models often face limitations when dealing with unusual text formats, visual

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