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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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The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

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7 min read
TimeCapsuleLLM: LLM trained only on data from 1800-1875

TimeCapsuleLLM: LLM trained only on data from 1800-1875

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5 min read
AI Engineering: Why the Environment Is the Most Ignored Long-Term Asset

AI Engineering: Why the Environment Is the Most Ignored Long-Term Asset

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5 min read
What SmartML Benchmarks Tell You Before Hyperparameter Tuning

What SmartML Benchmarks Tell You Before Hyperparameter Tuning

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2 min read
Fine-Tuning and Inference in LLMs: From Custom Models to Production Deployment

Fine-Tuning and Inference in LLMs: From Custom Models to Production Deployment

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8 min read
Data Poisoning as Mythic Corruption: How Attackers Taint the Well of AI

Data Poisoning as Mythic Corruption: How Attackers Taint the Well of AI

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6 min read
dots-ocr: Open-Source OCR Outperforms Giants for Multilingual Automation

dots-ocr: Open-Source OCR Outperforms Giants for Multilingual Automation

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4 min read
How to Transcribe and Detect Intent Using Deepgram for STT: A Developer's Journey

How to Transcribe and Detect Intent Using Deepgram for STT: A Developer's Journey

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11 min read
Building GeoAI Models: From Spatial Data to Actionable Insights

Building GeoAI Models: From Spatial Data to Actionable Insights

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5 min read
The Essential Guide to Building a Climate Data Analysis Project

The Essential Guide to Building a Climate Data Analysis Project

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8 min read
Building AI Agents in 2025: From ChatGPT to Multi-Agent Systems

Building AI Agents in 2025: From ChatGPT to Multi-Agent Systems

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4 min read
CLI agents make self-hosting on a home server easier and fun

CLI agents make self-hosting on a home server easier and fun

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5 min read
Beyond Linear Regression: Building Proactive Risk Models with Python

Beyond Linear Regression: Building Proactive Risk Models with Python

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3 min read
Under the Hood: VaidhLlama Architecture & Training Pipeline

Under the Hood: VaidhLlama Architecture & Training Pipeline

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6 min read
Cuando le dices a tu LLM "No pulses ese botón"

Cuando le dices a tu LLM "No pulses ese botón"

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12 min read
K-Means Clustering Step by Step: Beginner-Friendly Bangla Guide

K-Means Clustering Step by Step: Beginner-Friendly Bangla Guide

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3 min read
3 Ways to Run AI in the Browser with Next.js (No API Keys Required)

3 Ways to Run AI in the Browser with Next.js (No API Keys Required)

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3 min read
How to Build Custom Pipelines for Voice AI Integration: A Developer's Journey

How to Build Custom Pipelines for Voice AI Integration: A Developer's Journey

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13 min read
From Manual Testing to AI Pipelines: Lessons That Never Changed in My QA Career

From Manual Testing to AI Pipelines: Lessons That Never Changed in My QA Career

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4 min read
Paper Review: Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper Review: Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

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2 min read
Production ML is not about models. It’s about trade-offs.

Production ML is not about models. It’s about trade-offs.

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3 min read
The Non-Drinker's Guide to Clustering Algorithms 🎉

The Non-Drinker's Guide to Clustering Algorithms 🎉

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2 min read
AI Trading: Lesson Learned #134: RAG Architecture Misunderstanding - Wrong Fix Applied

AI Trading: Lesson Learned #134: RAG Architecture Misunderstanding - Wrong Fix Applied

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2 min read
[TIL][Python] Python Tool for Online PDF Viewing, Comparison, and Data Import

[TIL][Python] Python Tool for Online PDF Viewing, Comparison, and Data Import

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2 min read
AI Trading: Lesson Learned #133: LYING - Claimed Fix Without Verification

AI Trading: Lesson Learned #133: LYING - Claimed Fix Without Verification

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1 min read
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