Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
All Reads (11,436) Articles (5025)Blog Posts (2328)Tutorials (987)Research Papers (2738)News (358)
What Is Market Regime Detection and Why Your Polymarket Strategy Is Probably Ignoring It
Dev.to · FatherSon 📐 ML Fundamentals ⚡ AI Lesson 3w ago
What Is Market Regime Detection and Why Your Polymarket Strategy Is Probably Ignoring It
Most trading bots and strategies on Polymarket are built and backtested on the assumption that market...
12 Hard Truths About Coding I Learned the Hard Way After 10+ Years
Dev.to · Cesar Aguirre 📐 ML Fundamentals ⚡ AI Lesson 3w ago
12 Hard Truths About Coding I Learned the Hard Way After 10+ Years
I got fired from my first job, took down a database server with a badly written query, and was...
Building an ML-Powered Notification Routing Engine on AWS
Dev.to · Syed Meesam Turab 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Building an ML-Powered Notification Routing Engine on AWS
Most applications send notifications using fixed schedules or generic delivery rules. The challenge...
How I Used Python to Analyse 40,000 Human Gut Cells and Uncover What Makes Crohn's Disease Different from Colitis
Dev.to · Farhan Rehman Sherief 📐 ML Fundamentals ⚡ AI Lesson 3w ago
How I Used Python to Analyse 40,000 Human Gut Cells and Uncover What Makes Crohn's Disease Different from Colitis
A step-by-step walkthrough of my multi-sample single-cell RNA sequencing project - written for anyone...
Building ML Pipelines with Python: From Data to Insights
Dev.to · Mercy Moraa 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Building ML Pipelines with Python: From Data to Insights
In machine learning, writing a script that trains a model on a clean dataset is only a fraction of...
How I Mapped Brain Cell Changes in Alzheimer's Disease Using Single-Cell RNA Sequencing
Dev.to · Farhan Rehman Sherief 📐 ML Fundamentals ⚡ AI Lesson 3w ago
How I Mapped Brain Cell Changes in Alzheimer's Disease Using Single-Cell RNA Sequencing
Alzheimer's disease affects over 55 million people worldwide, yet the precise molecular changes...
Python While Loop Programs — Divisors, Primes, Factorial and More
Dev.to · DHANRAJ S 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Python While Loop Programs — Divisors, Primes, Factorial and More
Hey! Welcome back. In the last blog — we covered patterns, multiples, and divisors using while...
6 Cross-Topic Lessons from Grinding 46 LeetCode Problems
Dev.to · Xinyang Wu 📐 ML Fundamentals ⚡ AI Lesson 3w ago
6 Cross-Topic Lessons from Grinding 46 LeetCode Problems
Patterns that kept reappearing across hash tables, two pointers, stacks, linked lists, binary search, and prefix sums — with the exact bugs I wrote and the coun
Machine Learning: The Future of Intelligent Systems
Dev.to · Talha Yeasin Antor 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Machine Learning: The Future of Intelligent Systems
In recent years, machine learning has emerged as a key driver of innovation in the tech industry....
Carbon-Aware Model Training: Scheduling GPU Workloads Around Electricity Carbon Intensity
Dev.to · Nilofer 🚀 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Carbon-Aware Model Training: Scheduling GPU Workloads Around Electricity Carbon Intensity
Training ML models has an environmental cost that most practitioners do not measure. A model trained...
Spotify's Approximate Nearest Neighbor Search
Dev.to · Doogal Simpson 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Spotify's Approximate Nearest Neighbor Search
Quick Answer: Spotify skips exact nearest neighbor calculations because searching hundreds of...
Gemini Model Management: Ending Inefficiency! The Secret to 3x Faster Cost Tracking with Model Registry
Dev.to · 박준희 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Gemini Model Management: Ending Inefficiency! The Secret to 3x Faster Cost Tracking with Model Registry
Sharing my experience solving the complexities of Gemini model management and the issue of inefficient cost tracking using Model Registry.
Day 6 — Understanding Cost Functions in Logistic Regression
Dev.to · Rehana Hassan Muhumed 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Day 6 — Understanding Cost Functions in Logistic Regression
Today I continued my Machine Learning journey by learning about Cost Functions for Logistic...
Recently joined a service-based company. Need advice on learning DSA and software development.
Dev.to · abhijeeth manakan 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Recently joined a service-based company. Need advice on learning DSA and software development.
Hi everyone, I recently joined a service-based company as a fresher and want to build a strong...
Simon Willison's Blog 📐 ML Fundamentals ⚡ AI Lesson 3w ago
micropython-wasm 0.1a2
Release: micropython-wasm 0.1a2 I added a CLI to micropython-wasm ( issue #7 ), inspired by the first draft of the blog entry when I realized it would be a grea
The Hidden Contract of Mastery: Why Complexity Is Yours to Absorb
Dev.to · keeper 📐 ML Fundamentals ⚡ AI Lesson 3w ago
The Hidden Contract of Mastery: Why Complexity Is Yours to Absorb
Three principles that connect a CLAHE preprocessing script, a CLI tool, and what it means to learn anything deeply — the producer-consumer contract of knowledge
Google Colab, but in your favourite terminal
Dev.to · Glen Yu 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Google Colab, but in your favourite terminal
While some of my recent posts have involved using the Colab extension for VS Code and the...
Pattern Recognition: The Secret Weapon Top Coders Actually Use
Dev.to · Timevolt 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Pattern Recognition: The Secret Weapon Top Coders Actually Use
Pattern Recognition: The Secret Weapon Top Coders Actually Use Quick context (why...
Machine Learning for Data Engineers: The Patterns I Actually Used Across 7 Projects
Dev.to · De' Clerke 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Machine Learning for Data Engineers: The Patterns I Actually Used Across 7 Projects
Not a data scientist, but I've shipped ML models in production across 7 projects. XGBoost regression, 109 Prophet forecasts, SHAP explainability, FinBERT sentim
Why Enterprise AI Pilots Fail: From PoC to Production
Dev.to · David Ohnstad 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Why Enterprise AI Pilots Fail: From PoC to Production
David Ohnstad explores why enterprise AI pilots stall in PoC phase. Discover the workflow integration gaps that derail even accurate ML models from user ad
Gauss Elimination:
Dev.to · Nitesh Thakur 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Gauss Elimination:
Solving Linear Equations with Gauss Elimination: A Complete Guide with C Code Have you...
How to Fetch Vectorized MACD & RSI Signals Using QuantSignalPro in Python
Dev.to · Aditya2025-ctr 📐 ML Fundamentals ⚡ AI Lesson 3w ago
How to Fetch Vectorized MACD & RSI Signals Using QuantSignalPro in Python
If you've ever built an algorithmic trading system from scratch, you've almost certainly hit the same...
Understanding Underfitting and Overfitting: An Introduction
Dev.to · Phylis Jepchumba, MSc 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Understanding Underfitting and Overfitting: An Introduction
Have you ever trained a model that performed beautifully on your training data but fell apart the...
I Helped Build BlackRock's Aladdin. Then I Built Its Opposite.
Dev.to · Negm 📐 ML Fundamentals ⚡ AI Lesson 4w ago
I Helped Build BlackRock's Aladdin. Then I Built Its Opposite.
$11 Trillion Behind the Curtain In 2019, I walked into BlackRock's risk analytics floor...
Week 2
Dev.to · Aneesh Lade 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Week 2
Hello everyone! It has been a busy week, but I've made some exciting progress on my machine learning...
The Project Shouldn't Stop When The Model Does
Dev.to · xeivora 📐 ML Fundamentals ⚡ AI Lesson 4w ago
The Project Shouldn't Stop When The Model Does
The Project Shouldn't Stop When The Model Does I use ChatGPT for planning, Claude for...
The Metrics That Actually Tell You If Your Enterprise AI Rollout Is Working
Dev.to · Sumas Keller 📐 ML Fundamentals ⚡ AI Lesson 4w ago
The Metrics That Actually Tell You If Your Enterprise AI Rollout Is Working
The Metrics That Actually Tell You If Your Enterprise AI Rollout Is Working Time saved is...
I Test Every AI Tool on Messy Data Before I Trust Any Demo
Dev.to · faiso0ole 📐 ML Fundamentals ⚡ AI Lesson 4w ago
I Test Every AI Tool on Messy Data Before I Trust Any Demo
A demo tells you what the best-case looks like. Messy data tells you what production looks...
Predicciones de fútbol con Poisson, xG y calibración: qué puede hacer la IA
Dev.to · Khavel 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Predicciones de fútbol con Poisson, xG y calibración: qué puede hacer la IA
Predecir fútbol no va de acertar marcadores exactos. Va de estimar distribuciones de goles, calibrar...
The limiting factor in physical AI isn't compute or architecture - it's data
Dev.to · YK Sugi 📐 ML Fundamentals ⚡ AI Lesson 4w ago
The limiting factor in physical AI isn't compute or architecture - it's data
"The core of the problem is still ... robot data, this physical interaction data ... it's just...
The taxonomy problem: what naming 640 ML concepts taught me about the field
Dev.to · Fitz / OVERFITS 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
The taxonomy problem: what naming 640 ML concepts taught me about the field
When you have to name 640 machine learning concepts and decide how they relate to each other, the...
From ML Model to Production: My AI Weather Prediction Project
Dev.to · Devidutta Das 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
From ML Model to Production: My AI Weather Prediction Project
🌦️ I Built an AI Weather Prediction Web App Using Python, FastAPI, and JavaScript As a...
KNN early termination in Manticore Search
Dev.to · Sergey Nikolaev 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
KNN early termination in Manticore Search
Modern search engines do more than match keywords. When you search for "cozy mystery set in Paris"...
Top 10 Job-Oriented IT Fields After 12th: Skills, Tech Stacks, and Salaries
Dev.to · TuxAcademy 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Top 10 Job-Oriented IT Fields After 12th: Skills, Tech Stacks, and Salaries
Choosing the right career trajectory after the 12th standard is a defining moment for any student. In...
Compile-Time Memory Layout Optimization for On-Device ML Models
Dev.to · SoftwareDevs mvpfactory.io 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Compile-Time Memory Layout Optimization for On-Device ML Models
Deep dive into Android Runtime memory management during ML inference — using profile-guided compilation hints, large object space pinning, and region-based allo
I ran 20,000 Monte Carlo simulations to find the best position size. The 'average' result is a trap.
Dev.to · NoMad Paolo 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
I ran 20,000 Monte Carlo simulations to find the best position size. The 'average' result is a trap.
A profitable strategy can still blow up your account. I used a Monte Carlo simulation in Python to show why position size — not win rate — decides survival, and
Python Programming for Beginners – Day 9
Dev.to · augustineowino357-design 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Python Programming for Beginners – Day 9
Tuples, Sets, and Dictionaries in Python In the previous lesson, we learned about Lists and how they...
Programming Rules
Dev.to · sai sanjana 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Programming Rules
Hi all, Programming is the process of writing instructions that tell a computer what to do. To create...
Stop Testing Regex in Your Browser Console Use This Free Tool Instead
Dev.to · Muhammad Awais 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Stop Testing Regex in Your Browser Console Use This Free Tool Instead
Every developer has done this at least once. You need a regex pattern. You open the browser console,...
Building a Biomedical World Model in Python: SteeraMed Core
Dev.to · JXIONG 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Building a Biomedical World Model in Python: SteeraMed Core
What if you could ask: "Which compound is most likely to reverse this specific patient's molecular...
How to Find a Prime Number in Python — A Thinking Journey
Dev.to · Kathirvel S 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
How to Find a Prime Number in Python — A Thinking Journey
Introduction Understanding how to find prime numbers is one of the best ways to develop...
🚀 JWT sem hash forte de senha é armadilha — Argon2 + .NET fecham o ciclo
Dev.to · Danilo O. Pinheiro, dopme.io 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
🚀 JWT sem hash forte de senha é armadilha — Argon2 + .NET fecham o ciclo
A stack de autenticação em .NET fica sólida quando separamos duas responsabilidades: ✅ Argon2id para...
Simon Willison's Blog 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
datasette 1.0a32
Release: datasette 1.0a32 A minor bugfix release. Fixes a bug with INSERT ... RETURNING queries via the new /db/-/execute-write endpoint and a bunch of base_url
Stacking — Deep Dive + Problem: Depthwise Separable Convolution
Dev.to · pixelbank dev 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Stacking — Deep Dive + Problem: Depthwise Separable Convolution
A daily deep dive into ml topics, coding problems, and platform features from PixelBank. ...
Python Programming for Beginners – Day 6
Dev.to · augustineowino357-design 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Python Programming for Beginners – Day 6
Loops in Python In the previous lesson, we learned about Conditional Statements and how programs...
Pytorch for Neural Networks Part 2: Initializing Weights and Biases
Dev.to · Rijul Rajesh 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Pytorch for Neural Networks Part 2: Initializing Weights and Biases
In the previous article, we got started with expressing a neural network in the form of Python...
The Do-Over Game: Nash Equilibrium at the Golden Ratio
Dev.to · White Oak Intelligence 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
The Do-Over Game: Nash Equilibrium at the Golden Ratio
In This Article The Question Why 0.50 Is Not the Answer Modeling Your Final Draw Distribution The...
Stochastic vs. Deterministic Models
Dev.to · White Oak Intelligence 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Stochastic vs. Deterministic Models
In This Article The False Precision of Deterministic Models What Stochastic Models Do...