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

Dev.to · Alonso Madrigal
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Where Did All the Code Playgrounds Go?
I wanted to get better at technical interviews. That's really where this story starts. A...

Dev.to · Alan West
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why Your PyTorch Training Crawls on a Beefy GPU (And How to Fix It)
Your GPU sits at 15% utilization and bigger batches don't help? Here's how to diagnose whether you're compute, memory, or overhead bound — and fix it.
Simon Willison's Blog
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
datasette-fixtures 0.1a0
Release: datasette-fixtures 0.1a0 One of the smaller features in Datasette 1.0a30 is this: New documented datasette.fixtures.populate_fixture_database(conn) hel

Dev.to · Segun
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
You Don’t Need Maths to Be a Good Programmer — But That’s Not the Full Truth
There’s a popular statement in tech: “You don’t need maths to be a good programmer.” It’s often said...

Dev.to · Seenivasan A
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
CRACKING CODING INTERVIEW
Technical interviews at top companies like Google, Amazon, and Meta are often centered around coding...

Dev.to · Thousand Miles AI
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
114 pages of ML math, and what actually shows up at work
Sixty-two pages of machine learning math. Fifty-two pages of deep learning math. One hundred and...

Dev.to · VishnuRv
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Wanted To Build AI. Instead I Met Linear Algebra
When I first started learning machine learning, I was genuinely confident. In my head ML was...

Dev.to · Gregory
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Solved 512+ LeetCode Problems, and Here’s What I Learned 🧠
Hi everyone, my name is Greg. I've been working in web development since 2020. A few years ago, I...

Dev.to · Luis M
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
AutoML Guide
Build powerful machine learning models directly in SQL without writing any Python code.

Dev.to · Gatusso
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why My Baseline Random Forest Model Beat XGBoost: A Deep Dive into the Titanic Survival Prediction Dataset
A practical look at feature engineering, model optimization, and why simpler models...

Dev.to · Sugnik Mondal
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How I Built a Late Delivery Risk Predictor for APL Logistics: What a 95% Delay Rate in First Class Shipping Taught Me About Supply Chain ML
Late deliveries are not just an inconvenience. For a global logistics operator like APL Logistics...

Dev.to · StemSplit
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
5 Things I Wish I'd Known Before Writing a Production MCP Server in TypeScript (2026)
Retries, mutating vs read-only requests, absolute path validation, structured errors, progress notifications — the rough edges of building a real Model Context

Dev.to · Debjit Dey
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Tracking Chaos: Building a Real-Time Flight Anomaly Engine with Django, Celery, and Machine Learning
Imagine walking outside on a quiet afternoon. You hear a sharp roar overhead, pull out your phone,...

Dev.to · Papers Mache
📐 ML Fundamentals
📄 Paper
⚡ AI Lesson
1mo ago
KV cache eviction improves long‑context performance
A learned, globally‑calibrated KV‑cache eviction policy can shave memory usage and, paradoxically,...
Dev.to · ruth mhlanga
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Pipeline Architect's Worst Nightmare: Batch vs Streaming in Treasure Hunt Engines
The Problem We Were Actually Solving In our previous setup, we had a batch processing...

Dev.to · Mads Hansen
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Natural-language SQL needs an explain plan before it runs
Natural-language SQL should not go straight from prompt to production query. The generated SQL may...

Dev.to · Stacy Omwoyo
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Linear Regression for Beginners: Simple Linear Regression
Every day, companies try to predict future outcomes: How much revenue they might generate Which...

Dev.to · Sodiq Jimoh
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Build ML Infrastructure for a Living — Here's Why Hermes Agent Changes the Game for Platform Engineers
Hermes Agent Challenge Submission: Write About Hermes Agent Challenge Page I've spent the past...

Dev.to · Stacy Omwoyo
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
# Introduction to Machine Learning: How We Arrive at Linear Regression
Before we talk about Linear Regression, we first need to understand the bigger idea it belongs to ...

Dev.to · Todd Tanner
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Built a Neural Network Engine in C# That Runs in Your Browser - No ONNX Runtime, No JavaScript Bridge, No Native Binaries
Eight months ago the creator of ILGPU told me supporting Blazor WebAssembly would be too difficult. Today I'm shipping a six-backend ML library to NuGet with fi

Dev.to · Sirajuddin Shaik
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
# Multi-Head Latent Attention (MLA)
Compressing KV cache via low-rank projections - the attention mechanism behind DeepSeek-V2/V3 and...

Dev.to · Sirajuddin Shaik
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
# Multi-Head Latent Attention (MLA)
Compressing KV cache via low-rank projections - the attention mechanism behind DeepSeek-V2/V3 and...

Dev.to · davinceleecode
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Code Coverage .NET
Code Coverage .NET For .NET projects, the most common manual way is using: coverlet or...

Dev.to · Sirajuddin Shaik
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Multi-Head Latent Attention (MLA)
Compressing KV cache via low-rank projections — the attention mechanism behind DeepSeek-V2/V3 and...

Dev.to · Gervais Yao Amoah
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Stop Trusting Your Accuracy Score: A Practical Guide to Evaluating Logistic Regression Models
"Accuracy lied to you. Here's the complete toolkit—confusion matrix, precision, recall, F1, ROC/AUC,...

Dev.to · Chisom
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Ghost in the Stack (Part 1): Why uninitialized variables remember old data
Have you ever written a C program, run it, and watched it print values you never assigned? At first...
Dev.to · ruth mhlanga
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why I Spent 6 Months Rebuilding Our Event Pipeline to Fix a 400ms Query Latency Problem
The Problem We Were Actually Solving I was tasked with optimizing the event pipeline for...

Dev.to · Alex Vakulov
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How to Actually Become a Programmer: The Hard Part Nobody Wants to Explain
There is a comfortable myth around becoming a programmer. It says you can watch a few courses, copy a...
DeepCamp AI