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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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Unsupervised machine learning: Kmeans (MNIST digits dataset)

Unsupervised machine learning: Kmeans (MNIST digits dataset)

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1 min read
Unsupervised machine learning: Kmeans (3 blobs)

Unsupervised machine learning: Kmeans (3 blobs)

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1 min read
Unsupervised machine learning: Kmeans (Iris dataset)

Unsupervised machine learning: Kmeans (Iris dataset)

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1 min read
Build a Fast NLP Pipeline with Modern Text Tokenizer in C++
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Build a Fast NLP Pipeline with Modern Text Tokenizer in C++

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3 min read
BEIDI DINA SAMUEL : Le spécialiste qui Bâtit la Cybersécurité depuis Maroua
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BEIDI DINA SAMUEL : Le spécialiste qui Bâtit la Cybersécurité depuis Maroua

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2 min read
Quantization Explained: A Concise Guide for LLMs
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Quantization Explained: A Concise Guide for LLMs

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3 min read
How AI Is Reshaping Telecom: From Call Routing to Compliance
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How AI Is Reshaping Telecom: From Call Routing to Compliance

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3 min read
This AI-Powered Sorting Algorithm Dynamically Picks the Best Strategy, Boosting Speed by 40%

This AI-Powered Sorting Algorithm Dynamically Picks the Best Strategy, Boosting Speed by 40%

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3 min read
Understanding MCP (Model-Context Protocol)
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Understanding MCP (Model-Context Protocol)

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2 min read
AI in Cybersecurity in 2025
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AI in Cybersecurity in 2025

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2 min read
From Raw C++ to “Plug-and-Play” AI: Why the Human Spark Is Still the Real Engine of the Future
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From Raw C++ to “Plug-and-Play” AI: Why the Human Spark Is Still the Real Engine of the Future

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2 min read
What is Computer Vision?

What is Computer Vision?

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3 min read
Why Prompt Engineering is the New Literacy
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Why Prompt Engineering is the New Literacy

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2 min read
GenAI Foundations – Chapter 1: Prompt Basics: From Theory to Practice
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GenAI Foundations – Chapter 1: Prompt Basics: From Theory to Practice

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7 min read
Supervised Learning: Discriminant Analysis & Pandas Bfill with Scikit-Learn Labs
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Supervised Learning: Discriminant Analysis & Pandas Bfill with Scikit-Learn Labs

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2 min read
The Developer’s Roadmap to Building and Deploying AI Models
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The Developer’s Roadmap to Building and Deploying AI Models

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3 min read
Sentiment Analysis, the Classical Way — No Deep Learning
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Sentiment Analysis, the Classical Way — No Deep Learning

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3 min read
Designing for AI: Systems That Run Themselves
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Designing for AI: Systems That Run Themselves

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2 min read
What Are AI Hallucinations and Why Do They Happen?
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What Are AI Hallucinations and Why Do They Happen?

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3 min read
How Secure Is Your AI? Exploring Adversarial Attacks, Data Poisoning & ML Penetration Testing
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How Secure Is Your AI? Exploring Adversarial Attacks, Data Poisoning & ML Penetration Testing

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4 min read
I Scraped 10,000 AI/ML Job Postings in India. Here’s the Tech Stack You Actually Need to Learn in 2025

I Scraped 10,000 AI/ML Job Postings in India. Here’s the Tech Stack You Actually Need to Learn in 2025

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3 min read
What if Wayne Gretzky wasn’t totally right?
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What if Wayne Gretzky wasn’t totally right?

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9 min read
7 Essential Machine Learning Algorithms for Data Science, Data Analysis, and Predictive Modeling [2025 Guide]
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7 Essential Machine Learning Algorithms for Data Science, Data Analysis, and Predictive Modeling [2025 Guide]

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10 min read
Machine Learning Fundamentals: Scikit-Learn, Model Selection, Pandas Bfill & Kernel Ridge Regression
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Machine Learning Fundamentals: Scikit-Learn, Model Selection, Pandas Bfill & Kernel Ridge Regression

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3 min read
Steps To Develop Your Own AI Astrology App

Steps To Develop Your Own AI Astrology App

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3 min read
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