Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
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Dev.to · Ken W Alger
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Feature Store: Consistency and Latency Are Both Non-Negotiable
Part 3 of 5 in the series: When Your AI Pipeline Grows Up In the previous post, we worked through...

Dev.to · Jeferson Eiji
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Overcoming Challenges and Applying Best Practices in Migrating Large JavaScript Codebases to TypeScript
Explore the major obstacles and effective strategies for transitioning a large JavaScript project to TypeScript with real examples.

Dev.to · Sergiy Bondaryev
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
LeNet-5: A Visual Guide
An interactive guide to the neural network that learned to read handwritten digits. Draw a digit and...

Dev.to · Anjasfedo
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Keyless Deep Learning Steganography: Replacing Spread Spectrum Keys with CNNs 🕵️♂️
Imagine hiding a secret message inside the high-frequency details of an image, transmitting it, and...

Dev.to · The Forward Pass
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Synthetic Data Trap: When It Helps, When It Lies
This article originally appeared in The Forward Pass, a weekly newsletter for ML engineers who ship....

Dev.to · pickuma
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Optuna Tutorial: Automate Hyperparameter Tuning for ML Models in Python
How Optuna's define-by-run API, TPE sampler, and pruners automate hyperparameter tuning for scikit-learn, PyTorch, and TensorFlow models, with runnable Python c

Dev.to · Aminuddin M Khan
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Optimizing Cement Kiln Heat Consumption: A Process Engineer’s Python Approach
For over three decades, my world revolved around the deafening roar of industrial fans, the intense...

Dev.to · COMMENTERTHE9
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Cx Dev Log — 2026-05-07
JIT Backend: Cracking the Realness Code Back-edge sealing, assert native lowering, and functional...

Dev.to · Gabriel Anhaia
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Mutation Testing as Architecture Enforcement: Infection in 2026
92% coverage means nothing if half your assertions are assertTrue(true). Infection mutates your domain and tells you which tests don't actually test.

Dev.to · Alex Vance
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Why I Chose Hard Math Over AI for a 38,000 Ticker Financial Engine
A technical look at building a deterministic compounding engine with Next.js 15, handling tax-drag logic, and why LLMs are the wrong tool for financial forecast

Dev.to · N Satyadev
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Recursion Isn’t Hard. The Call Stack Is Invisible
Ever went through a simple DFS code and went "I would rather beat an old lady with a stick"? That...

Dev.to · Ozhaya
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
I Built an ML-Powered Email Validation API
I built an ML model using XGBoost to catch auto-generated disposable emails when blacklists can't...

Dev.to · MD Shahinur Rahman
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Sentiment Analysis: From Basics to BERT
` Imagine opening your laptop and seeing 5,000 product reviews, hundreds of support tickets, and a...

Dev.to · Tessl
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Your benchmarks are lying to you, and your judge is to blame!
Last week I published a benchmark comparing six models across eleven agent skills. The numbers in...

Dev.to · zeromathai
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
What AI Really Is — From Turing Test to Deep Learning
AI is not just chatbots or neural networks. It is a long-running attempt to answer one...

Dev.to · zeromathai
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
How RNNs Work — Remembering Previous States in Sequential Data
A normal neural network treats each input mostly as a fixed snapshot. But many problems are not...
Dev.to · pixelbank dev
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Class Imbalance — Deep Dive + Problem: Normalize Image
A daily deep dive into ml topics, coding problems, and platform features from PixelBank. ...

Dev.to · Assis Zang
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Creating a super-efficient Valid Palindrome algorithm in C#
First, do you know what a Palindrome is? No? So, according to the first Google result: A palindrome...

Dev.to · Mansi Somayajula
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
What Production ML Systems Taught Me About AI Hallucinations
Most discussions about AI hallucinations stay at the chatbot level. “ChatGPT made up a legal...

Dev.to · Ananthapathmanabhan A
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Predictive operations for BFSI Banking: delay prediction, risk scoring, leakage prevention, and recovery
Predictive operations for BFSI Banking: delay prediction, risk scoring, leakage prevention, and...

Dev.to · Aaron Maxwell
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Is Python High Level Or Low Level?
Imagine you need to fill a list with square numbers - or more complex objects, but we'll just use...

Dev.to · Maksym
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Python Logging Levels
Python’s standard logging library uses a numeric severity system to filter log messages. When you set...

Dev.to · beefed.ai
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Exactly-Once Streaming: Kafka + Flink Best Practices
Implement exactly-once processing with Kafka and Flink: transactions, checkpointing, idempotent sinks, and testing to prevent duplicates or data loss.

Dev.to · David Schuster
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
From BASIC to Modern Dev: My Path Into Programming
Programmer, Coder, Developer. I’ve always believed that every developer has an origin story. Some...

Dev.to · pickuma
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Algoverse AI Research: Why the ML Community Calls It a Paper Mill
An OpenReview profile with 158 papers and 468 coauthors led r/MachineLearning to expose Algoverse, a paid program selling ML research authorship to high schoole

Dev.to · Łukasz Żmudziński
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Scraping dynamic pages with Python, Playwright and AWS Lambda
A practical guide to scraping dynamic JavaScript-heavy pages with Python, Playwright, and AWS Lambda, then saving scheduled parquet snapshots to S3.

Dev.to · Niklas
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
ML-KEM Is Already In Your Browser. Here's How It Actually Works.
A deep-dive into ML-KEM (FIPS 203), the post-quantum key exchange now shipping in Chrome, AWS, and the Linux kernel. Rings, lattices, MLWE, Encaps, Decaps, and

Dev.to · André Ahlert
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
The Boring AI Is the Right AI
At the AI Engineer Summit 2025 in New York, the mantra that got repeated from stage after stage was...

Dev.to · Amar Gul
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Merge Sort vs Bubble Sort — Why 800 Comparisons Beats 147 Every Time
Most developers know Merge Sort is faster than Bubble Sort. But watching it happen makes the...

Dev.to · Vansh Aggarwal
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
LeetCode Solution: 20. Valid Parentheses
The Great Parentheses Puzzle: Cracking LeetCode 20 with Stacks! Hey there, future coding...

Dev.to · Patience Mpofu
📐 ML Fundamentals
⚡ AI Lesson
1mo ago
Blocking Secrets Before They Hit the Repository: Building a Pre-Commit Hook With ML
here are two places you can catch an exposed secret. After it's in the repository — in a CI/CD...

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 · 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 · 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 · 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....
![[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:...
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 · @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...
DeepCamp AI