DEV Community

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.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
Neural Network Learning Systems and Deep Learning: From Perceptrons to Representation Learning

Neural Network Learning Systems and Deep Learning: From Perceptrons to Representation Learning

Comments
6 min read
I Build AI Agents for a Living. Then I Decided to Build an Actual Brain.

I Build AI Agents for a Living. Then I Decided to Build an Actual Brain.

Comments
7 min read
We don’t need better logs. We need evidence.

We don’t need better logs. We need evidence.

Comments
1 min read
Amazon S3 Files: The End of the Object vs. File War (And Why It Matters in the AI Agent Era)

Amazon S3 Files: The End of the Object vs. File War (And Why It Matters in the AI Agent Era)

Comments
9 min read
Search-Based Problem Solving in AI: State Space, Search Trees, Heuristics, A*, Local Search, and Game Search

Search-Based Problem Solving in AI: State Space, Search Trees, Heuristics, A*, Local Search, and Game Search

Comments
10 min read
Building a Smart Travel Assistant with RAG: A Journey Through Kenya's Tourism Landscape

Building a Smart Travel Assistant with RAG: A Journey Through Kenya's Tourism Landscape

Comments
6 min read
Thinking Machines and Human Questions: Turing Test, Chinese Room, Strong AI, and the Future of Intelligence

Thinking Machines and Human Questions: Turing Test, Chinese Room, Strong AI, and the Future of Intelligence

Comments
10 min read
Layer 5 is Missing: AI Guardrails Need Evidence, Not Logs

Layer 5 is Missing: AI Guardrails Need Evidence, Not Logs

Comments
2 min read
Beyond the Hype: Building a Practical AI-Powered Codebase Assistant from Scratch

Beyond the Hype: Building a Practical AI-Powered Codebase Assistant from Scratch

Comments
5 min read
AI Paradigms: From Symbolic Rules to Neural Networks and Intelligent Agents

AI Paradigms: From Symbolic Rules to Neural Networks and Intelligent Agents

Comments
7 min read
Refactoring English: A mathematically compressed dialect to bridge the gap between human and machine logic.

Refactoring English: A mathematically compressed dialect to bridge the gap between human and machine logic.

Comments
3 min read
AI Scientific Methodology (1990–2010): How AI Shifted from Rules to Probabilistic Learning and Neural Networks

AI Scientific Methodology (1990–2010): How AI Shifted from Rules to Probabilistic Learning and Neural Networks

Comments
7 min read
Building "Vexa": The Journey of Crafting a Voice-Controlled Local AI Agent from Scratch

Building "Vexa": The Journey of Crafting a Voice-Controlled Local AI Agent from Scratch

Comments
3 min read
Introduction to ML Compilers + Roadmap (MLIR, TVM, GPU Kernels)

Introduction to ML Compilers + Roadmap (MLIR, TVM, GPU Kernels)

Comments
1 min read
"Beyond the Hype: Building a Practical AI-Powered Code Query Engine"

"Beyond the Hype: Building a Practical AI-Powered Code Query Engine"

Comments
5 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.