Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
Skills in this topic
4 skills — Sign in to track your progress

Dev.to · Patience Mpofu
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why I Chose Random Forest Over Deep Learning for Secrets Detection
Every time I mention that my secrets detector uses a Random Forest classifier, someone asks the same...

Dev.to · jesus manrique
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Mi Cementerio de GitHub Tiene 23 Proyectos Muertos. Esta es la Verdad Incómoda de Por Qué
23 proyectos empezados. Cero terminados. No fue falta de talento ni de tiempo. Fue algo más difícil de aceptar: estaba programando por la dopamina, no por el re
Dev.to · Labby
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
5 Essential Python Skills for Data Science: Lists, Files, Paths, Sets, and Data Formats
Master 5 critical Python skills for Data Science. Learn to handle lists, file I/O, path manipulation, sets, and JSON/YAML formats through hands-on interactive l

Dev.to · Rohini Gaonkar
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Bigger AI models aren't always better. Here's how to actually choose.
In the previous post, I showed you two models answering the same question. One hallucinated...

Dev.to · Andrew Vaughey
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building a Production MCP Server in TypeScript: 5 Gotchas the Tutorials Skip
The Model Context Protocol went from ~2M monthly SDK downloads at launch in November 2024 to...

Dev.to · hqqqqy
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Visualizing Why Standardization Changes Decision Boundaries
My SVM decision boundary looked perfect until I forgot to scale one feature. Here's a visual explanation of why standardization matters for classification.

Dev.to · SHAIK TAUFEEQ AHMAD
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building Shruthi Bandhu: How We Engineered an AI Gesture Tool for the Deaf-Mute Community (And Won the Vishwakarma Awards)
Some wins take time. Over the past year, I’ve walked out of innovation halls with more lessons than...

Dev.to · Serge Mbela
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Bâtir un Système de Maintenance Prédictive : De l’IoT Industriel à l’Analyse Vectorielle 🏭🤖
📌 Le Contexte : Transformer la donnée en décision Dans le secteur industriel, chaque minute d'arrêt...

Dev.to · Sam Hartley
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Replaced Every Cloud AI Tool with Local Models — 6 Months Later, Here's What Actually Broke
Six months ago I decided to see if I could stop paying for AI APIs entirely. Not "reduce costs." Not...

Dev.to · Gary Doman/TizWildin
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
ARC Turbo OS: Building a Seed-Rooted Runtime That Collapses Redundant Computation
ARC Turbo OS is a deterministic execution runtime that normalizes tasks into canonical problem graphs, reuses resolved subgraphs, preserves branch lineage, and

Dev.to · Awal Ariansyah
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Deterministic OCR in JavaScript: PaddleOCR for Node, Bun, Deno, and the Browser
A fast, lightweight PaddleOCR SDK that runs in every JavaScript runtime. Built on PP-OCRv5 and ONNX Runtime, with WebGPU acceleration, INT8 quantization, and 40

Dev.to · libre-main
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Out of curiosity, how did a lot of you start?
Being as new to this world as I am, I want to know how other people started out in computer sciences...

Dev.to · Mustafa ERBAY
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Retries and Idempotency in AI Pipelines: A Guide to Error Handling
AI-based systems, especially pipelines running in production, constantly carry the risk of errors. I...

Dev.to · Tech Talks Weekly
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Tech Talks Weekly #104
Happy Thursday 👋 and a warm welcome to Tech Talks Weekly #104! It's been a big week for the Java...

Dev.to · RAXXO Studios
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Replacing Lodash with Native ES2026: groupBy, fromAsync, toReversed, and 5 More
Lodash adds about 70KB minified, ES2026 covers most utility uses with zero...

Dev.to · James
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
DIY Search Engine: Complete Stack for Under €30
Building a Self-Hosted Search Engine for Under €30/Month You don't need Google's...

Dev.to · Can Ceylan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
When the bug isn't a bug: diagnosing runtime barriers before debugging
The pattern that wastes days You need a capability — web scraping, image processing, ML...

Dev.to · Aminuddin M Khan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Detecting Kiln Shell Hot Spots Early with Python: A Cement Plant Engineer's Approach
Originally published on Medium — canonical source A kiln shell hot spot that goes undetected long...

Dev.to · Robel Asefa
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
My ML Learning Stack as a College Student (And the Honest Mess That Got Me Here)
I'm not going to pretend I had a clean, structured path into machine learning. I didn't. Like a lot...

Dev.to · Razu Kc
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Compile-time vs runtime: where MCP security actually lives
If you run a Model Context Protocol (MCP) server in production, you've probably noticed that "MCP security" doesn't mean one thing. It means at least four thing

Dev.to · TokenHub
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Build the eval set before you swap the model.
The pattern I keep seeing on teams chasing AI cost reductions: someone swaps a workload from GPT-4o...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
69. Feature Engineering: Building Better Inputs
You've tried three different algorithms. None of them break 78% accuracy. You add dropout, tune...

Dev.to · Edith Asante
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
# I Built a Tool That Watches Your Server, Learns Your Traffic, and Blocks Attackers Automatically
Most developers deploy servers. Few think about what happens when someone tries to take them...

Dev.to · xbill
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Is Brain Float (bf16) Worth it?
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 After some basic benchamarking -...

Dev.to · Suifeng023
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
7 Python Libraries You're Not Using But Should Be in 2025
7 Python Libraries You're Not Using But Should Be in 2025 Python's ecosystem grows every...

Dev.to · Shrividya Hegde
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
What I wish someone had told me earlier when I started as AI Data Engineer?
I've written an article here,originally published on Stackademic. If you work with data pipelines...

Dev.to · Gaurang
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I trained a neural network to find exoplanets. Here's what actually worked.
I have recently entered 12th grade, and I've been obsessed with exoplanets for a while now. Not in a...

Dev.to · Lich Priest
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Deploy a Real‑Time Object Detection API with YOLOv8 & FastAPI
Step‑by‑step guide to train a custom YOLOv8 model, containerize it with Docker, and serve low‑latency predictions via FastAPI
Dev.to · Labby
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
4 NumPy Labs: Master Array Creation, Math Games, and KNN Regression
Level up your data skills with 4 hands-on NumPy labs. Learn to shape arrays, perform complex math, and build a K-Nearest Neighbors regression algorithm from scr

Dev.to · ClawGear
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Five SQL Patterns AI Agents Get Wrong (And How to Fix Them)
When AI agents write SQL, they usually write something that works. The problem is "works" is a low...

Dev.to · Felipe Bojorque
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How I Found Machine Failure Patterns in Industrial Sensor Data — Predictive Maintenance EDA
Predictive maintenance is one of the highest-impact applications of data science in industry — and...

Dev.to · Blaine Elliott
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why Do Data Teams Use AI to Write Code but Not to Monitor Pipelines?
dbt's 2026 State of Analytics Engineering found that 72% of data teams prioritize AI-assisted coding, but only 24% prioritize AI-assisted pipeline management. T

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
68. PCA: Shrinking Data Without Losing Information
You have 100 features. Most of them are correlated. Training is slow. Visualization is impossible....
Dev.to · Marco
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Bare-metal audio ML classifier on microcontrollers: case study
A TinyML audio-classification workflow that trains in Python, exports to C and runs directly inside bare-metal firmware.
![[CryptoTradingBot] Analyzing 70 Live Trades of My Python Crypto Bot (v8.04 Post-Mortem)](https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F7o6wv7jlfrni2t7wxou0.png)
Dev.to · rocketsquirreldev
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
[CryptoTradingBot] Analyzing 70 Live Trades of My Python Crypto Bot (v8.04 Post-Mortem)
I’ve been running version 8.04 of my Python-based crypto trading bot live for about a month. Instead...

Dev.to · A3E Ecosystem
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The 70% Data-Prep Tax in AI Development (and How to Cut It in Half)
Amershi et al. (2019) studied AI development workflows at Microsoft and reported a now-famous number:...

Dev.to · Rohit
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Clean Code Tips Every Developer Should Know
Writing clean Python code is essential for maintainability and team collaboration. I recently...

Dev.to · Deniz
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Project Euler #001 in Python: Multiples of 3 or 5
Problem Project Euler Problem #001 asks us to find the sum of all natural numbers below...

Dev.to · Eclesiaste Vaz
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Evoluindo como programador
Se és alguém que estuda constantemente, consumindo artigos, posts, vídeos e cursos ligados à...

Dev.to · Samiksha Srivastav
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
str() vs repr() vs print() in Python
While learning Python, I came across three things that look very similar at...

Dev.to · Mohamed Idris
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Recursion in 5 Minutes (with examples)
The one-line definition: a function that calls itself until it hits a stopping condition. That's...

Dev.to · Sam Chen
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Built a Book Recommendation Engine Based on Mood, Not Genre
Genre-based book recommendations are broken. Someone who loves "The Great Gatsby" and "Norwegian...

Dev.to · Samuel Akopyan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Vectors, Dimensions, and Feature Spaces — The Geometry Behind Machine Learning
If you strip machine learning of all the complex terminology and buzzwords, you almost always end up...

Dev.to · Patience Mpofu
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why I Built an ML-Powered Secrets Detector Instead of Just Using Regex
ost secrets scanners work the same way. They maintain a list of regex patterns — one for AWS access...
Simon Willison's Blog
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Quoting Andrew Quinn
One could say in the first quarter-century of my life, that while I was always fascinated by programming, I could never overcome the guilt of not really knowing

Dev.to · Eugene
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Stop Guessing Which Weights Your Neural Network Actually Learned: Deterministic Initialization That Tracks Every Change
A novel approach to weight initialization that lets you track exactly which parameters changed during training, enabling 60-70% safe pruning with zero quality l

Dev.to · @alonso_isidoro
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Three Detection Paradigms. One Dataset. One Result.
Three Detection Paradigms. One Dataset. One Result. For the last 147 days I’ve been...

Dev.to · zkaria gamal
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building Strong ML Foundations: Chapter 2 - Classification is Now Live
A few weeks ago I published Chapter 1 of my hands-on AI tutorial series, focused on Regression....
DeepCamp AI