Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
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Dev.to · ahmet gedik
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Python Celery Task Queues for Video Metadata Processing
Implement background task processing with Python Celery for thumbnail validation, virality scoring,

Dev.to · Sergey Nikolaev
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How to Speed Up Phrase Search with bigram_index
TL;DR bigram_index can be used for several purposes, and in this article we focus...

Dev.to · Chris Widmer
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Connector Graveyard: What Multi-Model Pipeline Code Actually Looks Like.
Every ML team building multi-model pipelines has a graveyard. It is not a literal place. It is a...

Dev.to · Ken Imoto
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I Tested My AI Pipeline 6 Times and Found 9 Bugs. The Model Caused Zero of Them.
Three separate Claude sessions, three cron jobs, one architecture diagram I felt smug about. Six test runs later I had nine bugs. Every single one was in the ha

Dev.to · Yoshiki Fujiwara(藤原 善基)@AWS Community Builder
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Production SageMaker Patterns, Multi-Account Deployment, and Event-Driven Architecture for FSx for ONTAP S3 Access Points — Phase 4
TL;DR This is Phase 4 of the FSx for ONTAP S3 Access Points serverless patterns...

Dev.to · Joseph Tobi
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why Full-Stack ML Engineers Are More Valuable Than Pure Data Scientists
There is a conversation happening in every tech company right now. A data scientist presents a model....

Dev.to · Joseph Tobi
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How to Serve a PyTorch Model with FastAPI: A Complete Guide
How to Serve a PyTorch Model with FastAPI: A Complete Guide Most machine learning tutorials stop at...

Dev.to · Bruno Freschi
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
DataAccess: Entity Framework
O Entity Framework (EF Core) fecha essa trindade do acesso a dados no .NET. Enquanto o ADO.NET te dá...

Dev.to · shangkyu shin
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How Bayesian Networks Work — Graphs, Probability, and Inference
Bayesian Networks can feel confusing because they combine two things at once. Graphs show...
Dev.to · pixelbank dev
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Feature Engineering — Deep Dive + Problem: Palindromic Substrings
A daily deep dive into ml topics, coding problems, and platform features from PixelBank. ...

Dev.to · Hamdi LAADHARI
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
🐍 The "Production-Ready" Miniconda Cheatsheet: From Homebrew to JupyterLab
As I started my journey into AI and Data Science, I quickly realized that managing Python...

Dev.to · Pelumi Oluwategbe
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Building Mithridatium: Detecting Hidden Backdoors in ML Models
Building an open-source ML backdoor detection framework.

Dev.to · Ken W Alger
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
When Your AI Pipeline Grows Up: Infrastructure Thinking for Real-Time Inference at Scale
There’s a familiar arc in AI development. A team builds a model, wires up a pipeline, and ships it....

Dev.to · Terezija Semenski
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The 10 free books I recommend to every engineer learning ML math (and why order matters)
After teaching hundreds of engineers learn machine learning last 5 years, a pattern becomes hard to...

Dev.to · Rehana Hassan Muhumed
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Day 3 — Moving to Multiple Linear Regression
Today I continued my Machine Learning journey and learned about Multiple Linear Regression. After...

Dev.to · Archit Mittal
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Build a UPI Transaction Categorizer in 95 Lines of Python
If you use UPI for everything (and at this point, who in India doesn't?), your bank statement is a...

Dev.to · Francesco Ira
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How I built an invoice extraction API that works on any PDF layout
How I built an invoice extraction API that works on any PDF layout I kept running into the...

Dev.to · Nomfundo Mtiyane
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How much can a Front-end Developer learn about Machine Learning using only JavaScript?
Robot Playing Piano by Franck V on Unsplash: https://unsplash.com/photos/U3sOwViXhkY Machine Learning...

Dev.to · NARESH-CN2
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
What Building a 20GB CSV Validator Taught Me About mmap
The Problem: The Ingestion BottleneckMost data pipelines struggle with large-scale ingestion because...

Dev.to · SuriDevs
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Room Migration Mistake That Crashed Every User's App
I crashed every existing user of my QR scanner app with one bad Room migration — added a label field,...

Dev.to · Edith Heroux
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Avoiding Common Pitfalls in AI-Powered Predictive Analytics Implementation
Common Pitfalls in AI-Powered Predictive Analytics and How to Avoid Them As the e-commerce...

Dev.to · jasperstewart
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How to Implement AI-Powered Predictive Analytics in Your E-Commerce Strategy
Step-by-Step Guide to Implementing AI-Powered Predictive Analytics Implementing AI-Powered...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
55. Multiple Regression: More Features, More Power (And More Ways to Break Things)
In the last post, you predicted house prices using one feature. One number in, one number out. Real...

Dev.to · Md Shahjalal
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
MCP Explained Simply: How AI Talk to Your Data
Hello friends Today I want to share something I’m currently learning — MCP (Model Context...

Dev.to · João Godinho
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
TSP - Travelling Salesman Problem
Introduction I will talk about P vs NP, NP-complete, and NP-hard, define heuristics in...

Dev.to · Aman Sachan
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I built a distributed compute grid where your idle laptop runs ML jobs — here's the architecture
The Problem Most personal computers sit idle 90% of the time. Meanwhile, ML training and...

Dev.to · Somnath Das
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
🌿 Plant Disease Detection System
Agriculture is the backbone of many economies, yet plant diseases continue to cause massive crop...

Dev.to · Nicolas Florez
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Migrating a Single-Tenant SaaS to Multi-Tenant Workspaces with EF Core Global Query Filters
TL;DR We had a single-tenant Angular + .NET 10 SaaS where every row was scoped by UserId....

Dev.to · zkaria gamal
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I Built My Own Hands-on AI Tutorial – Chapter 1: Regression (From Scratch + XGBoost)
A few weeks ago, I revisited my old AI/ML projects. As I looked through the code, I felt something...

Dev.to · Luiz Oliveira
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The real problem with ingesting MongoDB into Delta Lake (and how I built a library to fix it)
If you've ever built ETL pipelines pulling data from MongoDB into Delta Lake using Spark, you've...

Dev.to · GeekyAnts Inc
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Writing Effective Unit Tests: Best Practices
Master unit testing in JavaScript with Jest. Learn AAA pattern, mocking, isolation, test coverage,...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
53. Overfitting: When Your Model Is Too Good at Being Wrong
Series: How Machines Learn: A Complete Guide from Zero to AI Engineer Phase 6: Machine Learning (The...

Dev.to · David Aronchick
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
From Kubeflow to Real-World ML: Why Data Locality Matters Just as Much as Compute
From Kubeflow to Real-World ML: Why Data Locality Matters More Than Compute When my...

Dev.to · David Aronchick
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why Your 'AI-Ready' Data Isn't: The Hidden Pipeline Problem Breaking Production AI
The names have been changed to protect the innocent. :) A Fortune 500 retailer spent $5 million on...

Dev.to · David Aronchick
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Loop Is Only as Good as the Metric
On Thursday I wrote about Karpathy's autoresearch, the 630-line training loop that runs 100 ML...
Simon Willison's Blog
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
TRE Python binding — ReDoS robustness demo
Research: TRE Python binding — ReDoS robustness demo If it's good enough for antirez to add to Redis I figured Ville Laurikari's TRE regular expression engine w

Dev.to · Denis
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Parallel RNNs?
Did you check out the recent ICLR results? I got intrigued by a rather provocative paper from Apple -...

Dev.to · Sheikh Sadi Asif
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I Built an AI That Predicts Medical Specialties from Clinical Notes (End-to-End Deployment)
Hey DEV community 👋 I recently built and deployed a full-stack AI system that predicts medical...

Dev.to · Scott McMahan
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why AI Projects Break After Deployment
A lot of machine learning models perform well in development but fail once they reach production....

Dev.to · the_undefined_architect
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Linear Regression: Code (a) Line
It's time to write your first ML model and predict house prices. To follow along, go ahead and take a...

Dev.to · Benji Fisher
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
AI Commerce Needs MLPerf — and Here's an Early Attempt
Validating a UCP manifest takes a second. Scoring it for agent-readiness takes another. Neither of...

Dev.to · Kelvin
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Dimensionality Reduction in Machine Learning: PCA and t-SNE.
Dimensionality reduction is a fundamental concept in machine learning used to reduce the number of...

Dev.to · Sheikh Sadi Asif
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I Built an AI That Detects Pneumonia From Chest X-Rays Here's Exactly How I Did It
A few weeks ago, I shipped PneumoScan AI a deep learning model that analyzes chest X-ray images and...

Dev.to · Gamya
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Understanding Data Types in Python
Python Basics #2 🐍🔥 In the previous article of this Python Basics series, we learned about...

Dev.to · Raghava Chellu
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
CloudSync MLBridge: Bridging Google Cloud Datastore and BigQuery with ML-Powered Sync
If you've built production systems on Google Cloud, you've likely hit the same wall: your operational...

Dev.to · Ahirton Lopes
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
🏈 TensorCraft Playbook: De CNNs de Sala de Aula a Cloud TPUs com Keras
📖 Capítulo 1: A Formação de Ataque (Arquitetura CNN) Toda estratégia vencedora exige fundamentos...

Dev.to · Naveen Karasu
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Day 5/75: Prefix sums in Go - Go DSA
A focused walkthrough of prefix sums in go built around using a stable invariant so prefix sums in go feels like a process instead of a trick.

Dev.to · Ali Can
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Building an AI-Powered Prediction Engine for Racing Data: A Developer's Journey
As developers, we are always looking for interesting datasets to test our machine learning skills....
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