How to deal with an imbalanced dataset in machine learning with SMOTE
Last updated: November 13, 2025 by the editorial team
Author's): Tanesh the pigeon
Originally published in Towards...
What I Learned from Google's 5-Day AI Agent Intensive Course (Day 1): Building and...
Author's): Laura Verghote
Originally published in Towards Artificial Intelligence.
Create reasoning agents with...
How artificial intelligence and machine learning are integrated into modern application frameworks
Author's): Sherry Walker
Originally published in Towards Artificial Intelligence.
By 2026, the role...
Your First AI Chief of Staff: How LLMs are Silently Revolutionizing Internal Operations for...
Author(s): Intelligent Hustle
Originally published on Towards AI.
Every successful leader understands the invaluable role of a Chief of Staff (CoS). This strategic partner serves...
Production-Ready AI Agents: 8 Patterns That Actually Work (with Real Examples from Bank of...
Author(s): Sai Kumar Yava
Originally published on Towards AI.
The gap between a demo AI agent and a production-ready system is vast. I’ve seen countless...
Agentic AI Project: Build a Multi-Agent System with LangGraph
Author's): Alpha iterations
Originally published in Towards Artificial Intelligence.
This is a comprehensive...
LAI #101: Designing Memory, Building Agents, and Developing Multimodal Artificial Intelligence
Author's): Towards the AI editorial office
Originally published in Towards Artificial Intelligence.
Good...
Scaling laws: How to allocate computation for training language models
Author's): M
Originally published in Towards Artificial Intelligence.
From the 20:1 rule of...
Embedding – Understanding vectors in AI
Author's): Shobhit Chauhan
Originally published in Towards Artificial Intelligence.
Embedding – Understanding vectors...
Twój aparat nie tylko widzi — on wyjaśnia
Autorski): Lindo Św. Anioł
Oryginalnie opublikowano w „W stronę sztucznej inteligencji”.
Kamery inteligentnego domu to hałaśliwi gawędziarze. Liść się porusza, światło...
APLICATIONS
A breakthrough in high -resolution image reconstruction with neural networks
Deep learning still exceeds the limits of computing imaging, providing advanced solutions to challenges in image reconstruction. The recent innovation, developed by scientists from...
