Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
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Dev.to · Khavel
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Player props NBA: variables que debe mirar un modelo antes de recomendar una apuesta
Un prop de jugador parece una pregunta binaria: mas o menos que una linea. En realidad es una...

Dev.to · White Oak Intelligence
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Monty Hall Problem: Why Switching Wins 2/3 of the Time
In This Article The Question The Intuition Trap: Why 50/50 Feels Obvious The Exhaustive Case...

Dev.to · White Oak Intelligence
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Amoeba Extinction Probability: The Branching Process Solution
In This Article The Question Why Candidates Get This Wrong Setting Up the Fixed-Point...

Dev.to · White Oak Intelligence
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Algorithmic Trading Pipelines
In This Article Four-Layer Pipeline Architecture WebSocket Ingestion with asyncio Anomaly Detection...

Dev.to · Rizwan Saleem
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building a Developer’s Personal Knowledge Graph: From Notes to Infra-Grade Search
Building a Developer’s Personal Knowledge Graph: From Notes to Infra-Grade Search ...

Dev.to · Eli
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Academic Community Explores Computational Approaches to Infrastructure
A novel research paper gains traction on Hacker News for its creative approach to algorithmic problem-solving in complex systems.

Dev.to · Disha Patel
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Benchmarked 4 Lightweight Transformers for Fault Detection. Here's What Survived.
Everyone talks about deploying ML on edge devices. Very few people show what happens when you...

Dev.to · Samuel Rurangamirwa
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Demystifying Deep Learning Optimization: From Feature Scaling to Adam and Beyond
A comprehensive technical guide breaking down the mechanics, mathematics, and trade-offs of 7 core neural network optimization techniques.

Dev.to · eternalsix
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Multi-model chaining: a practical guide
Multi-Model Chaining: A Practical Guide to Wiring AI Models Together Without Losing Your...

Dev.to · German Yamil
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python pytest: Write Tests That Actually Help You
A practical pytest guide for Python developers — fixtures, parametrize, mocking, and how to structure tests so they catch bugs before production does.

Dev.to · Dale Nguyen
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Local-first: a Model on Your Own Machine, Zero Cloud
This is the concrete, runnable walkthrough for Post 1 of the Portway series. The goal: stand up a...

Dev.to · Robosynx
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why robotics RL training pipelines fail at scale
Scaling reinforcement learning for robotics looks straightforward on paper. You have a simulator, a...

Dev.to · Shivanshu Pandey
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I built a Python preprocessing tool and a reviewer called it "low-trust" — here's what they got right
I shipped my first PyPI package this week — a data preprocessing tool — and within 48 hours a...

Dev.to · Eli
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Lean AI Model Detects Hidden Patterns in Time-Series Data
Researchers build interpretable anomaly detection system that rivals larger models while using a fraction of the parameters.

Dev.to · Sayonil Mitra
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Simple SQL Tool
I am a full stack dev but randomly got interested in SQL. Something about combining queries felt like...

Dev.to · Snappy Tools
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Number Systems Demystified: Binary, Octal, Decimal, and Hex
Most people grow up with one number system (base 10). Programmers regularly work with three more:...

Dev.to · Snappy Tools
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Binary, Octal, Decimal, Hex: Why Programmers Use Four Number Systems
Most people grow up with one number system (base 10). Programmers regularly work with three more:...
Dev.to · Lisa Zulu
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why the Treasure Hunt Demo Broke Every Query Tool We Fed It
The Problem We Were Actually Solving We were not building a demo. We needed to let Veltrix...

Dev.to · quantalphatrading12-del
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why My Triple EMA Backtest Showed $20k Profit But Lost Money Live (Python Code)
I spent 3 months optimizing a Triple EMA strategy that showed $20k profit in backtesting. Then I ran...

Dev.to · tomasz dobrowolski
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Machine Learning on Options Data: An Honest Quant ML Guide
Eight ML methodologies on options data, grouped by maturity, with the exact data shape each needs, where minute-level history beats EOD, and what actually doesn

Dev.to · Mehmet TURAÇ
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Harness Engineering: The Code Around the Model Is the Hard Part
Everyone benchmarks the model. Almost nobody benchmarks the harness — the loop, the tool dispatch,...

Dev.to · Mishan Raj Shah
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building a Stock Trend Predictor for a Market That Has No API
Nepal Stock Exchange has been running since 1994. It lists 359 companies. Thousands of traders use it...

Dev.to · zhongqiyue
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
When Traditional Web Scraping Fails: A Practical AI Approach
I've been building web scrapers for years. BeautifulSoup, Scrapy, Selenium — I've used them all. But...

Dev.to · Marie44
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
My rules for clean code that help me understand other people's projects quickly
When I first started my career as a software engineer, I frequently found myself drowning in a sea of...

Dev.to · Jun Bae
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Andrej Karpathy's Neural Networks: Zero to Hero — 1) Intro to Neural Networks and Backpropagation
Introduction Andrej Karpathy uploaded several lecture videos on YouTube and the...

Dev.to · Kathirvel S
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Ultimate Python Logic Journey: Chocolates -> Divisors -> Primes
Imagine this... You walk into a shop and buy 30 chocolates. 🍫 Your friend looks at the chocolates...

Dev.to · Ingero Team
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
From Kernel Scheduler to Python Source Line: Tracing a GPU Stall End to End
TL;DR A GPU that reports 97% utilization can still be the slowest part of a training step,...

Dev.to · Haji Rufai
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building a Full-Text Search Engine from Scratch in Python
Every time you type a query into Google, Elasticsearch, or even VS Code's file search, a chain of...

Dev.to · still-purrfect
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
🧠 Understanding Data Types (The Missing Layer)
After working on input and output in Python, I started noticing something small… but important. I...

Dev.to · Visakh Vijayan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Unveiling the Power of Regression Algorithms in Machine Learning
The Essence of Regression Algorithms Regression algorithms form a fundamental part of machine...

Dev.to · Thomas Cherickal
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Built a Neural Network from Scratch in Rust — Then Compiled It to WebAssembly
A complete ML pipeline: engine, backprop, binary format, and a live browser demo. Zero dependencies....

Dev.to · Vektor Memory
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
We Benchmarked Our Open Source Memory Tool Against a Microsoft Research Paper.
by VEKTOR Memory — 10 min read Found this whitepaper digging through ArXiv today; there are so...

Dev.to · ludy.dev
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Under the Hood of EngConvert: Solving Floating-Point Precision in Web-Based Engineering Tools
This simple approach keeps the bundle size exceptionally small while ensuring we don't display weird...

Dev.to · Nasit Sony
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Got Tired of Training Jobs Crashing at Hour 6 — So I Built Veriflow
I Got Tired of Training Jobs Crashing at Hour 6 — So I Built Veriflow You know the...

Dev.to · Rijul Rajesh
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Tensors Explained Part 2: Why Tensors Are Useful
In the previous article, we started with a brief introduction to tensors. In this article, we will...

Dev.to · Issam Hilmi
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Tutorial for Beginners - A Complete Guide 2026
Welcome to Python Programming Python is a high-level, easy-to-learn programming language that is...

Dev.to · Baldwin Apps
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Before SQL, We Had to Tell Computers Everything. Then One Idea Changed That Forever.
Here's something most SQL tutorials skip entirely: SQL wasn't just a new syntax. It was a new way...

Dev.to · Marco Rinaldi
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
VLM-scored calibration sets for INT8 quantisation, routed through Bifrost
TL;DR: We pick the 512 hardest images for INT8 PTQ calibration by scoring a candidate pool with a...

Dev.to · Zestminds Academy
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Syntax Is Easy. Designing Reliable Program Flow Is the Real Skill.
Python has a reputation for being simple. And at the syntax level, that reputation is fair. You...

Dev.to · Vineet Chauhan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Feature Engineering is Not Just “Cleaning Data”: What I Learned While Building a Real ML Pipeline
Most machine learning tutorials make preprocessing look straightforward. Handle missing...

Dev.to · still-purrfect
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Tuples in Python (something I almost ignored)
I recently shared what I learned about lists, and while I was getting comfortable with them, I came...

Dev.to · Marco Rinaldi
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
QAT vs PTQ on our edge vision model: 6 months of A/B data
TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on...

Dev.to · pickuma
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
LeetCode Alternatives in 2026: What Actually Helps You Land a Job
I worked through 4 LeetCode alternatives over 3 months while job-hunting. Here's which ones translated to passing actual interviews, which were a waste of time,

Dev.to · pickuma
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Free Programming Courses That Don't Suck: A Career-Changer's Curated List
I worked through 30+ free programming resources during a career change. These 9 were genuinely good — the rest were marketing or low-effort YouTube content padd

Dev.to · Mrunank Pawar
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Best MCP Server Directories for Developers
This blog was originally published on Descope. The Model Context Protocol (MCP) has quickly...

Dev.to · Rijul Rajesh
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Tensors Explained Part 1: How AI Systems Represent Data
In this article, we will explore the concept of tensors in the context of machine learning. From the...

Dev.to · Stock Expert AI
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Backtested vs Real-time: Why Some AI Models Break in Production
Backtested vs real-time: why some AI models break in production

Dev.to · Axel Espinosa
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Stacks en entrevistas técnicas: 3 problemas resueltos paso a paso
Cuando empecé a resolver problemas de LeetCode cada uno se sentía como un mundo nuevo. Me costó un...
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