#machinelearning Development Tutorials & Tips | Roast Dev

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TensorFlow: A Biblioteca Essencial para Machine Learning

O TensorFlow revolucionou a forma como desenvolvemos modelos de aprendizado de máquina. Criado pelo Google Brain em 2015, tornou-se uma das ferramentas mais populares para construir e treinar redes n...

29.04.2025 0 Read More

🚀 Automating Document Data Extraction with DocExtractor: Save Time, Build Smarter

Hey devs! 👋We're excited to introduce you to DocExtractor — an open, developer-friendly solution to a long-standing pain point: extracting structured data from unstructured documents.🧠 What is...

29.04.2025 0 Read More

How to Use AI in Construction Industry?

The construction industry is facing several persistent challenges - delayed project timelines, budget overruns, and a severe skills shortage.In fact, a study by McKinsey shows that the construction in...

29.04.2025 0 Read More

The Intelligent Shield: How AI and Machine Learning are Revolutionizing Cyber Threat Detection

The cyber threat landscape is growing more complex and persistent in today's hyperconnected world. Even though they are still crucial, traditional security measures frequently can't keep up with the c...

29.04.2025 0 Read More

Your Website Can See, But Can It Understand? Using AI-Powered Image Recognition to Transform the Web Experience

Imagine this: You walk into a massive store. Shelves packed with products. No signs. No directions. Just endless rows of items. You’d probably walk out confused or frustrated, right?That’s exactl...

29.04.2025 0 Read More

Building Smarter Local AI Agents with MCP: A Simple Client-Server Example

In today's AI landscape, enabling a Local LLM (like Llama3 via Ollama) to understand user intent and dynamically call Python functions is a critical capability.The foundation of this interaction is Mo...

29.04.2025 0 Read More

K-Means Clustering: A Practical Implementation Guide

Unveiling the power of unsupervised learning through a step-by-step implementation of the K-Means algorithm, transforming raw data into meaningful clusters. 1. implementation using numpy only ...

29.04.2025 0 Read More

K-Means Clustering Made Simple: Grouping Data the Smart Way

K-Means is an easy yet powerful algorithm that organizes data into groups based on similarity. It's widely used in customer segmentation, image compression, and more—perfect for making sense of mess...

29.04.2025 0 Read More

Guide To Build Your Own Crypto AI Agent

Crypto AI agents are currently autonomously managing blockchain transactions, DApps, and numerous other blockchain-based technologies, and they're working perfectly. The AI agents performing crypto po...

29.04.2025 0 Read More

Creating custom model from LLMs — Experimenting with plexe-ai

Plexe AI has released a library plexe, can be used with Python to create own custom ML models with the help of LLMs. Just in natural language, provided the requirements and context, this library makes...

29.04.2025 0 Read More

TensorFlow: A Biblioteca Essencial para Machine Learning

🚀 Automating Document Data Extraction with DocExtractor: Save Time, Build Smarter

How to Use AI in Construction Industry?

The Intelligent Shield: How AI and Machine Learning are Revolutionizing Cyber Threat Detection

Your Website Can See, But Can It Understand? Using AI-Powered Image Recognition to Transform the Web Experience

Building Smarter Local AI Agents with MCP: A Simple Client-Server Example

K-Means Clustering: A Practical Implementation Guide

K-Means Clustering Made Simple: Grouping Data the Smart Way

Guide To Build Your Own Crypto AI Agent

Creating custom model from LLMs — Experimenting with plexe-ai

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