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Machine Learning

NVIDIA Announces GPU Acceleration in scikit-learn, UMAP, and HDBSCAN

Discover how NVIDIA's latest cuML update brings GPU acceleration to scikit-learn, UMAP, and HDBSCAN, boosting performance by up to 50x for sklearn—with zero code changes.
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Josef Waples

March 19, 2025

Artificial Intelligence

A Beginner’s Guide to the Rectified Linear Unit (ReLU)

Discover the basics of one of the most popular activation functions for neural networks
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Javier Canales Luna

January 28, 2025

Artificial Intelligence

What is Computer Vision? A Beginner Guide to Image Analysis

Discover how computers see images and videos and how artificial intelligence and machine learning are rapidly revolutionizing computer vision.
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Javier Canales Luna

January 23, 2025

Data Engineering

Data Preprocessing: A Complete Guide with Python Examples

Learn the techniques for preparing raw data for analysis or machine learning with Python examples!
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Kurtis Pykes

January 15, 2025

Machine Learning

Top 11 Data Mining Projects to Build Your Portfolio

Explore top data mining project ideas in different industries to build your skills - from beginner to advanced. Datasets and resources to get started are included!
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Kurtis Pykes

November 14, 2024

Data Engineering

What is a Data Lakehouse? Architecture, Technology & Use Cases

Discover how data lakehouses unify the strengths of data lakes and warehouses, offering a powerful solution for data management and analytics!
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Moez Ali

November 6, 2024

Machine Learning

How to Learn NLP From Scratch in 2025: An Expert Guide

In this guide, you’ll discover how to learn Natural Language Processing (NLP) from scratch. With a clear, week-by-week learning plan, you'll explore essential NLP concepts, practical applications, and hands-on projects to build your skills.
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Laiba Siddiqui

September 3, 2024

Machine Learning

Generative vs Discriminative Models: Differences & Use Cases

This article explains the core differences between generative and discriminative models, covering their principles, use cases, and practical examples to help you choose the right approach for your machine learning tasks.
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Arun Nanda

September 2, 2024

Artificial Intelligence

AI in Cybersecurity: A Researcher's Perspective

AI in cybersecurity uses AI algorithms to combat threats like ransomware and misinformation, providing advanced capabilities in protection, detection, and response.
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Natasha Al-Khatib

September 1, 2024

Artificial Intelligence

Natural Language Understanding (NLU) Explained

Natural language understanding (NLU) is a subfield of natural language processing (NLP) focused on enabling machines to understand the meaning, context, and intent of human language.
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Dimitri Didmanidze

September 1, 2024