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dev.to > paperium > a-tutorial-on-principal-component-analysis-12m5

A Tutorial on Principal Component Analysis

A Tutorial on Principal Component Analysis39+ min ago See Hidden Patterns in Your Data " A Simple Guide Ever looked at a messy spreadsheet and wished it would tell a story? This short note shows how a common tool can pull out the main lines hiding in a jumble…...

2.
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dev.to > hkj13 > unleashing-creativity-with-generativeai-2nf2

Unleashing Creativity with GenerativeAI

Unleashing Creativity with GenerativeAI1+ hour, 18+ min ago Exploring the Future of Creativity with GenerativeAI GenerativeAI has taken the tech world by storm, offering groundbreaking opportunities for enhancing human creativity. At its core, GenerativeAI refers to algorithms that can generate new data similar to the data they were…...

3.
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dev.to > yuer > ai-decision-systems-break-without-strategy-stability-184d

AI decision systems break without strategy stability

AI decision systems break without strategy stability1+ hour, 23+ min ago Most developers use LLMs for content generation. Some use them for analysis. Things get tricky when we ask LLMs to support decisions. Ask an LLM a decision question twice. Keep the conditions the same. You'll often get different answers. This…...

4.
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dev.to > rijultp > diagnose-fix-painfully-slow-ollama-4-essential-debugging-techniques-fixes-2g10

Diagnose & Fix Painfully Slow Ollama: 4 Essential Debugging Techniques + Fixes

Diagnose & Fix Painfully Slow Ollama: 4 Essential Debugging Techniques + Fixes2+ hour, 4+ min ago Nowadays, more people have started using local LLMs and are actively utilizing them for day-to-day tasks. However, the more use cases you run on a local LLM, you may start noticing some performance issues. Instead of directly blaming your hardware,…...

5.
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dev.to > aminboutarfi > the-tradeoffs-behind-ai-agents-1135

The Tradeoffs Behind AI Agents

The Tradeoffs Behind AI Agents2+ hour, 7+ min ago AI agents are powerful, practical, and already being used in real-world systems " from automation and research to coding and multi-step reasoning. In this video, we do not argue against AI agents. Instead, we take an engineering-first approach. We break down…...

6.
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dev.to > adiseshan_ramanan_8906f6e > my-learning-so-far-in-engg-351j

My learning so far in engg

My learning so far in engg2+ hour, 51+ min ago Nothing has beaten consistency yet. I understood this late. But since last one month I recalled whatever I forgot in dev (JS, Go, Rust and Web3) and I realized that just building projects isn't enough. I need to code daily, and…...

7.
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dev.to > astrophelverse > optimizing-integer-constrained-circle-packing-using-differential-evolution-in-python-1ad9

Optimizing Integer-Constrained Circle Packing using Differential Evolution in Python.

Optimizing Integer-Constrained Circle Packing using Differential Evolution in Python.2+ hour, 54+ min ago Introduction: The "Brute Force" Trap I'll be honest: I thought this would be easy. My goal was simple: fit as many non-overlapping circles as possible into a 100x100 pixel grid. My first instinct was to use a standard Brute Force approach....

8.
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dev.to > meena_nukala_1154d49b984d > mlops-integration-trends-in-late-2025-bridging-devops-ai-and-production-scale-ml-5cm6

MLOps Integration Trends in Late 2025: Bridging DevOps, AI, and Production-Scale ML

MLOps Integration Trends in Late 2025: Bridging DevOps, AI, and Production-Scale ML3+ hour, 19+ min ago Hey dev.to community! " The MLOps market has exploded this year, with projections hitting billions and CAGRs around 37-40%. Organizations are shifting from siloed ML projects to integrated pipelines that treat models like code. In this post, I'll share the key…...

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dev.to > dataformathub > dbt-airflow-in-2025-why-these-data-powerhouses-are-redefining-engineering-3iif

dbt & Airflow in 2025: Why These Data Powerhouses Are Redefining Engineering

dbt & Airflow in 2025: Why These Data Powerhouses Are Redefining Engineering3+ hour, 37+ min ago dbt, the analytics engineering workhorse, has spent the past year-plus evolving from a robust SQL templating tool into a more comprehensive data control plane, keenly focused on performance and governance at scale. When dbt run executes this, it automatically breaks…...

10.
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dev.to > keerthana_696356 > data-handling-and-analysis-tools-every-aiml-student-should-know-how-to-use-9h4

Data handling and analysis tools every AIML student should know how to use

Data handling and analysis tools every AIML student should know how to use4+ hour, 34+ min ago When students start learning AI or Machine Learning, they often jump directly into models and algorithms. But in real projects, 80% of the effort happens before the model is trained. That effort is called data handling and analysis. This article explains…...