Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
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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...

Dev.to · Md Imtiyaz Ahmed
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How Neural Networks Actually Work — A Thread for Curious Minds
Everything starts from something you already know: y = mx + c That's just a line. But stack enough...

Dev.to · Andrei Toma
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Automating Incident Response at the Network Edge with Low-Latency ML
Learn how to eliminate latency lag in incident response by deploying low-latency ML models at the network edge using HookProbe’s AI-native NAPSE engine.

Dev.to · Gowtham Potureddi
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Apache Airflow Interview Questions: DAGs, Operators, Sensors, XComs & Schedulers
apache airflow interview questions dominate the orchestration round in every senior data engineering...

Dev.to · Musungu (Ruth) Ambogo
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Encoding in Machine Learning Explained
Introduction In machine learning, data preprocessing plays a critical role in building...

Dev.to · Musungu (Ruth) Ambogo
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python 101 a Comprehensive Guide
Introduction Python is an interpreted, high-level programming language that was developed...

Dev.to · Nilabh Jyoti Kalita
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I built a satellite pass quality forecaster using NOAA space weather data and Skyfield — here's how it works
How I combined orbital mechanics, real-time NOAA space weather data, and ionospheric TEC into a composite 0-100 pass quality score for ground station operators.

Dev.to · hiyoyo
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building a Card Game AI with Reinforcement Learning — Implementation Details#2
Introduction This is a follow-up to my previous article. If you haven't read it yet, check...

Dev.to · Temur Khasanov
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How to estimate battery runtime from Wh, DoD, efficiency, and load
Battery runtime estimates are usually simple in structure but easy to overstate. A useful first-pass...

Dev.to · Elchin Nasirov
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Built a Sentiment Analysis Web App – My First Full-Stack ML Project
Hey dev.to 👋 After spending a month learning Machine Learning through Andrew Ng’s specialization, I...

Dev.to · connerlambden
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How to Brier-grade your own ML option-pricing forecasts in 40 lines of Python
A walkthrough of one recipe from a new open-source cookbook for the Helium MCP REST surface. Log a model's prob_itm forecast today, append the realized outcome

Dev.to · Randy AP
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I built a Rust inference engine that streams MoE expert weights from NVMe SSDs, no GPU required
Most people trying to run Mixtral or DeepSeek-V3 locally hit the same wall: they don't have 80GB of...

Dev.to · Pulsebit News Sentiment API
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Your Pipeline Is 25.0h Behind: Catching Finance Sentiment Leads with Pulsebit
Your Pipeline Is 25.0h Behind: Catching Finance Sentiment Leads with Pulsebit We just...

Dev.to · Max Othex
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Real Cost of Bad Data in AI Systems
Most companies launching AI projects worry about model selection, compute costs, and integration...

Dev.to · Aysha Sohail
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why Hybrid Metaheuristics Still Beat “Smarter” AI in Real-World Optimization
Most people think optimization is about “making models smarter.” In reality, it’s often about making...

Dev.to · Vairavan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Day 2 of Python Learning 🐍
Last day, we learned terminal basics, conditional statements, how to use Boolean datatype in Python,...

Dev.to · Athithya Sivasankarar
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Program to Double Flowers in Each Temple
Problem Statement A devotee starts with 1 flower and visits 7 temples. At each temple, the number of...

Dev.to · ke yi
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The AI Development Life Cycle (AIDLC): Why Your ML Projects Need More Than SDLC
If you've ever shipped a machine learning model to production, you know the feeling. Everything works...

Dev.to · Michellebuchiokonicha
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Machine Learning Engineering Series
Part 1: From Scratch to Systems . This machine learning series will be a real ride. It’s...

Dev.to · RileyKim
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Quick Tip: Benchmarking Multimodal APIs in Under 10 Minutes
Look, I’m a backend engineer. I don’t have time to read through 40 pages of model cards before...

Dev.to · Aditya Mehra
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Built a Diagnostic Toolkit for PyTorch Because I Was Tired of Guessing Why Models Fail
Every time a PyTorch model refuses to learn, the debugging process looks the same: Stare at the...

Dev.to · Pedro Santos
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Similarity Search for Failure Diagnosis
Similarity Search for Failure Diagnosis In the previous post, I showed how every saga...

Dev.to · Navas Herbert
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Week 3: We Stopped Repeating Ourselves (Loops!)
I started this session with a challenge. "Jose," I said, "print the names of all 40 students in...

Dev.to · Arjun M
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Built a Multilingual Spam Detection Dataset with 149K+ Messages Across 23 Languages
Spam detection datasets are surprisingly bad once you move outside English. Most public datasets...

Dev.to · Alberto Martinez
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Construyendo un recomendador de películas en Python: de los datos al modelo
Introducción Los sistemas de recomendación están presentes en muchas plataformas...

Dev.to · N Satyadev
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why MLFQ Was Way Ahead of Its Time
Enough with the unga bunga puny algorithms.. did you know there exists an scheduling algorithm that...

Dev.to · Mohamed Zrouga
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I'm not an ML engineer. I built one anyway.
Not because I wanted to — but because every tool I tried on ARM edge devices either needed the cloud,...

Dev.to · dzaeltic
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python as a JavaScript Dev
This blog is an introduction to Python, and it assumes that you have a good knowledge of JavaScript...

Dev.to · NTCTech
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Inference Is Becoming the New Steady-State Cost Center
Training was a bounded investment event. Inference is an unbounded operational residency...

Dev.to · Annabelle
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
BeautifulSoup and Requests for Web Scraping With Python: When Simple Still Works
Not every data collection workflow requires browser automation or complex network impersonation. For...

Dev.to · Marco Rinaldi
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Quantising event-camera networks to run under 1MB on a Cortex-M7
TL;DR: I shrunk a gesture-recognition model for a Prophesee EVK4 event camera from 4.2MB down to...

Dev.to · Emily Davis
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Interview Prep Stack I Used as a Senior Software Engineer Targeting Big Tech
Preparing for senior software engineering interviews at big tech is not just about solving LeetCode...

Dev.to · bitanath
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Principal Components in TypeScript (Part 4)
This is part four of a series Principal Components in TypeScript and focuses on the application of...

Dev.to · Haji Rufai
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Building a Data Drift Detection Framework in Python with Statistical Rigor
Data drift — the silent killer of ML models and data pipelines. Your model worked perfectly in...

Dev.to · Yash Pritwani
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Model Routing Cost Checklist: Hosted APIs, Open Models, Or Self-Hosted Inference?
Originally published on TechSaaS Cloud Originally published on TechSaaS Cloud Model...

Dev.to · bitanath
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Principal Components in TypeScript (Part 3)
This is part three of a series Principal Components in TypeScript and focuses on the application of...

Dev.to · Talha Yeasin Antor
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
**Machine Learning: The Future of Intelligent Systems**
Machine learning, a subset of artificial intelligence (AI), has been gaining significant attention in...

Dev.to · Hashevolution
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
🔬 Direction 1 closure on JAMES — when the hypothesis fails but the data turns "7-tier monotonic natural-stop gradient"
G Two weeks ago I shipped core/reasoning/budget.py to test whether per-call dynamic token budgets...
Simon Willison's Blog
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
datasette 1.0a30
Release: datasette 1.0a30 The big new feature in this alpha is a new customizable "Jump to..." menu, described in detail in The extensible "Jump to" menu in Dat
DeepCamp AI