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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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Real-Time Horn Detection and Noise Regulation System for Silence Zones

Real-Time Horn Detection and Noise Regulation System for Silence Zones

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3 min read
**Myth-Busting in AI: Federated Learning is More Than Just S

**Myth-Busting in AI: Federated Learning is More Than Just S

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1 min read
**Unlocking AI's Black Box: Introducing the "AI Transparency

**Unlocking AI's Black Box: Introducing the "AI Transparency

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1 min read
AI for Exploratory Data Analysis (EDA)

AI for Exploratory Data Analysis (EDA)

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3 min read
Introduction to AI Agents: A Technical Overview for Beginners

Introduction to AI Agents: A Technical Overview for Beginners

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6 min read
My ML Learning Journey: From Confusion to Building a Working Model

My ML Learning Journey: From Confusion to Building a Working Model

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8 min read
Abandonware of the web: do you know that there is an HTML tables API?

Abandonware of the web: do you know that there is an HTML tables API?

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4 min read
Tencent's AI Revolution: How AI Development Is Done Right

Tencent's AI Revolution: How AI Development Is Done Right

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2 min read
Mastering Principal Component Analysis (PCA) in R: A Complete Guide from Basics to Business Insights

Mastering Principal Component Analysis (PCA) in R: A Complete Guide from Basics to Business Insights

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5 min read
BUILDING A BIGRAM LANGUAGE MODEL

BUILDING A BIGRAM LANGUAGE MODEL

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12 min read
Machine Learning Syllabus for MAKAUT

Machine Learning Syllabus for MAKAUT

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1 min read
The Future of UX: Robotics, Telepresence, and the Rise of Human-in-the-Loop Design

The Future of UX: Robotics, Telepresence, and the Rise of Human-in-the-Loop Design

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4 min read
Building Intelligent AI Agents with Modular Reinforcement Learning

Building Intelligent AI Agents with Modular Reinforcement Learning

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13 min read
Born ML v0.6.0: From 90 Seconds to 5 - How We Made Go ML Training Actually Fast

Born ML v0.6.0: From 90 Seconds to 5 - How We Made Go ML Training Actually Fast

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5 min read
From Code Red to Reality Check: The Three Forces Defining AI's Next Chapter

From Code Red to Reality Check: The Three Forces Defining AI's Next Chapter

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4 min read
**Caution: Synthetic Data Oversight - Overfitting to Noise**

**Caution: Synthetic Data Oversight - Overfitting to Noise**

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1 min read
Why Semantic Search Matters... especially in Barbados!

Why Semantic Search Matters... especially in Barbados!

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3 min read
The Role of GPUs in Accelerating Deep Learning Training

The Role of GPUs in Accelerating Deep Learning Training

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5 min read
Why GPUs Are the Secret Weapon for Faster Deep Learning Training

Why GPUs Are the Secret Weapon for Faster Deep Learning Training

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6 min read
Diagnosing layer sensitivity during post training quantization

Diagnosing layer sensitivity during post training quantization

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4 min read
SmartKNN Regression Benchmarks — How Far Can a Smarter KNN Really Go?

SmartKNN Regression Benchmarks — How Far Can a Smarter KNN Really Go?

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3 min read
AI vs. Machine Learning vs. Deep Learning

AI vs. Machine Learning vs. Deep Learning

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2 min read
Part 6: Building the First Neural Network

Part 6: Building the First Neural Network

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4 min read
Part 1: Resuming my journey on learning the basics of AI

Part 1: Resuming my journey on learning the basics of AI

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4 min read
Building a Self-Improving RAG System with Smart Query Routing and Answer Validation

Building a Self-Improving RAG System with Smart Query Routing and Answer Validation

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16 min read
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