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9 posts

Distributed Data Parallel

Last Updated: 23 July 2025

Distributed Data Parallel (DDP) is a technique that enables the training of deep learning models across multiple GPUs and even multiple machines. By splitting data and com...read more

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CatBoost with Sparse Data

Last Updated: 30 June 2025

CatBoost is a gradient boosting library that naturally handles sparse data as it has many zero or missing values without extra preprocessing. It supports sparse matrix for...read more

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Artificial Intelligence

Exploring Synthetic Data Using GANs

Last Updated: 23 July 2025

Synthetic Data has evolved from being a solution for data scarcity into a foundational component of modern AI development. Today, it plays an important role in ensuring us...read more

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AI-ML-DS With Python

What is data poisoning?

Last Updated: 23 July 2025

Data poisoning is a cyberattack that targets the training data used to build machine learning models. Attackers try to slip misleading or incorrect information into the tr...read more

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Machine Learning

Machine Learning

What is Data Product: Definition & Examples

Last Updated: 06 August 2025

Data products transform raw information into actionable insights for businesses in today's data-driven world. Any tool, system or application that uses data to deliver val...read more

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Top 10 Best Practices for Data Migration

Last Updated: 23 July 2025

As an organization develops into a more data-driven commodity, investing in data migration becomes essential. With the ever-growing importance, type, and rate of data, out...read more

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10 Data Security Best Practices in 2025

Last Updated: 23 July 2025

In today's interconnected world, data is invaluable for both individuals and organizations. As data becomes more critical, ensuring its security has become a top priority ...read more

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Top 10 Data Engineering Trends

Last Updated: 25 August 2025

New data engineering trends will change how we build, manage, and utilize data. Data engineering has become a key field as businesses now depend on real-time data for quic...read more

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K-Mode Clustering in Python

Last Updated: 02 May 2026

K-mode clustering is an unsupervised machine-learning algorithm used to group categorical data into k clusters (groups). The K-Modes clustering partitions the data into K ...read more

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Technical Scripter

Machine Learning

Technical Scripter 2022

AI-ML-DS With Python