Foundations

ML Fundamentals

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

19,857
lessons
Skills in this topic
View full skill map →
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 (11,543) Articles (5092)Blog Posts (2344)Tutorials (1009)Research Papers (2740)News (358)
From a Single Line to a Universal Function Machine: How Feedforward Networks Work
Dev.to · Fahim Uddin 📐 ML Fundamentals ⚡ AI Lesson 2h ago
From a Single Line to a Universal Function Machine: How Feedforward Networks Work
In the last post, we talked about 2012 — the year deep learning stopped being an academic curiosity...
The Model Context Protocol in Python
Dev.to · Puneet Gupta 📐 ML Fundamentals ⚡ AI Lesson 3h ago
The Model Context Protocol in Python
What MCP is, why it exists, and how to build a minimal tool server and a client that consumes it in Python — with an honest look at when the protocol earns its
Experiment tracking is a dashboard problem. Until it isn't.
Dev.to · Renato Marinho 📐 ML Fundamentals ⚡ AI Lesson 3h ago
Experiment tracking is a dashboard problem. Until it isn't.
Stop manually hunting for hyperparameters in dashboards. Connect Claude or Cursor directly to Comet ML via MCP to audit experiments, retrieve real-time metrics,
Delete the backend: shipping v0.5 of a CRDT relay where the server can't read your data
Dev.to · Nishant Bhatte 📐 ML Fundamentals ⚡ AI Lesson 4h ago
Delete the backend: shipping v0.5 of a CRDT relay where the server can't read your data
Yjs, Automerge, and Loro are excellent CRDT libraries — but they leave the server problem to you. You...
Day 98 of Learning MERN Stack
Dev.to · Ali Hamza 📐 ML Fundamentals ⚡ AI Lesson 6h ago
Day 98 of Learning MERN Stack
Hello Dev Community! 👋 It is officially Day 98 of my 100-day full-stack engineering track! 🎯 We are...
The Mean Is Lying to You: Benchmarks Hide the Variance That Breaks Prod
Dev.to · AI Explore 📐 ML Fundamentals ⚡ AI Lesson 9h ago
The Mean Is Lying to You: Benchmarks Hide the Variance That Breaks Prod
Benchmarks report averages over fixed test sets. Production failures live in the variance and the tails. Those are two different problems.
TraceTree: Mapping malware behavior to catch supply chain attacks
Dev.to · Tejas 📐 ML Fundamentals ⚡ AI Lesson 9h ago
TraceTree: Mapping malware behavior to catch supply chain attacks
We just released an important update: retraining our Random Forest model on real malware behavior...
Why We're Stuck With GPUs This Long?
Dev.to · Rooted 📐 ML Fundamentals ⚡ AI Lesson 9h ago
Why We're Stuck With GPUs This Long?
I'm probably not the only one who checks every few months whether a GPU alternative has finally...
Hierarchical clustering: merge nearest, read the dendrogram
Dev.to · Devanshu Biswas 📐 ML Fundamentals ⚡ AI Lesson 15h ago
Hierarchical clustering: merge nearest, read the dendrogram
K-Means has one annoying question it asks before you've even looked at your data: how many clusters?...
Stop Guessing, Start Profiling: Mastering Edge AI Performance and Power on Android
Dev.to · Programming Central 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Stop Guessing, Start Profiling: Mastering Edge AI Performance and Power on Android
You’ve spent weeks optimizing your machine learning model. You’ve pruned the weights, quantized the...
From 0 Likes to Meme Engineer
Dev.to · Konark Sharma 📐 ML Fundamentals ⚡ AI Lesson 1d ago
From 0 Likes to Meme Engineer
We have all been there. You are sitting at your desk late at night, your code is throwing errors that...
TypeScript Branded Types vs. Nominal Types: Which Pattern Should You Use in 2026
Dev.to · jsmanifest 📐 ML Fundamentals ⚡ AI Lesson 1d ago
TypeScript Branded Types vs. Nominal Types: Which Pattern Should You Use in 2026
Most type safety failures in TypeScript stem from treating all strings as interchangeable. Branded types prevent these errors at compile time without runtime ov
When Should AI Teams Replace a Model in Production?
Dev.to · Ye Allen 📐 ML Fundamentals ⚡ AI Lesson 1d ago
When Should AI Teams Replace a Model in Production?
Replacing an AI model in production should not be a guess. It should be a decision based on workflow...
GNN vs. Trees: High-Speed Hybrid Architecture for XLA Runtime Prediction
Dev.to · Islam Ashraf 📐 ML Fundamentals ⚡ AI Lesson 1d ago
GNN vs. Trees: High-Speed Hybrid Architecture for XLA Runtime Prediction
GNN vs. Trees: High-Speed Hybrid Architecture for XLA Runtime Prediction Introduction A common trap...
Stop Copy-Pasting Regex from Stack Overflow
Dev.to · AI Predictions Dev 📐 ML Fundamentals ⚡ AI Lesson 2d ago
Stop Copy-Pasting Regex from Stack Overflow
We’ve all been there. You need to validate an email address, or extract a specific pattern from a log...
The GPU Utilization Number That's Quietly Wrecking AI Team Budgets
Dev.to · Mike Smith 📐 ML Fundamentals ⚡ AI Lesson 2d ago
The GPU Utilization Number That's Quietly Wrecking AI Team Budgets
Teams obsess over GPU hourly rates when comparing providers. The number that actually determines your...
Evolving Algorithms: Next-Generation AI in Predictive Analytics
Dev.to · Fu'ad Husnan 📐 ML Fundamentals ⚡ AI Lesson 2d ago
Evolving Algorithms: Next-Generation AI in Predictive Analytics
Predictive analytics has quietly become the backbone of decision-making across industries, from...
K-Means Clustering (Unsupervised Learning)
Dev.to · Abhijeet Pratap Singh 📐 ML Fundamentals ⚡ AI Lesson 2d ago
K-Means Clustering (Unsupervised Learning)
1. The Problem It Solves In many real-world problems, we don't have labeled data. We may...
Random Forest (Supervised Learning)
Dev.to · Abhijeet Pratap Singh 📐 ML Fundamentals ⚡ AI Lesson 2d ago
Random Forest (Supervised Learning)
1. The Problem It Solves Decision Trees are simple, easy to understand, and work well on...
How I Built an Anti-Fabrication Rule into Our CV Analysis Tool
Dev.to · Murtaza haider 📐 ML Fundamentals ⚡ AI Lesson 3d ago
How I Built an Anti-Fabrication Rule into Our CV Analysis Tool
When you build a tool that analyses CVs against job descriptions, one failure mode keeps you up at...
Code Challenge of the Day — Reverse word order (easy)
Dev.to · I Want To Learn Programming 📐 ML Fundamentals ⚡ AI Lesson 3d ago
Code Challenge of the Day — Reverse word order (easy)
Today's easy strings challenge. Solve it in your browser.
Kaggle Titanic: Improving Survival Prediction with Random Forest Age Imputation
Dev.to · kito2718 📐 ML Fundamentals ⚡ AI Lesson 3d ago
Kaggle Titanic: Improving Survival Prediction with Random Forest Age Imputation
How predicting missing age values using RandomForestRegressor improved our CV score to 0.8519 and Kaggle Public Score to 0.78947.
Kaggle Titanic: Cabin Feature Engineering (Is It Really Effective?)
Dev.to · kito2718 📐 ML Fundamentals ⚡ AI Lesson 3d ago
Kaggle Titanic: Cabin Feature Engineering (Is It Really Effective?)
Extracting deck letters from the Cabin feature in the Kaggle Titanic competition and evaluating its impact.
150+ Python Interview Questions I Wish I Had Before My FAANG Interview (Free Preview Inside)
Dev.to · The AI producer 📐 ML Fundamentals ⚡ AI Lesson 3d ago
150+ Python Interview Questions I Wish I Had Before My FAANG Interview (Free Preview Inside)
I spent 3 months preparing for Python developer interviews. The biggest problem? Most resources give...
Building a Liability-First Allocation Engine for Brazilian Insurance Portfolios
Dev.to · Elliott Branmer 📐 ML Fundamentals ⚡ AI Lesson 3d ago
Building a Liability-First Allocation Engine for Brazilian Insurance Portfolios
Traditional portfolio optimization often begins with expected return and volatility. For an insurance...
Head-level attention fusion trims compute
Dev.to · Papers Mache 📐 ML Fundamentals 📄 Paper ⚡ AI Lesson 3d ago
Head-level attention fusion trims compute
Merging full‑attention and linear‑attention at the head granularity slashes transformer FLOPs without...
I Tried to Escape LeetCode for 2 Years (But Here We Are)
Dev.to · Konark Sharma 📐 ML Fundamentals ⚡ AI Lesson 4d ago
I Tried to Escape LeetCode for 2 Years (But Here We Are)
Seriously, LeetCode in 2026? Everyone is saying HackerRank just killed LeetCode, and yet here I am,...
Your gradient dies on the way to layer 1 (and how to save it)
Dev.to · Devanshu Biswas 📐 ML Fundamentals ⚡ AI Lesson 4d ago
Your gradient dies on the way to layer 1 (and how to save it)
Stack enough layers and something strange happens: the network trains, the last few layers learn...
AdaBoost from Scratch: How a Pile of Dumb Rules Becomes a Smart Classifier
Dev.to · Devanshu Biswas 📐 ML Fundamentals ⚡ AI Lesson 4d ago
AdaBoost from Scratch: How a Pile of Dumb Rules Becomes a Smart Classifier
Here is a question that sounds like a trick: can you build an accurate classifier out of models that...
Four Rules, Infinite Worlds: Building Conway's Game of Life from Scratch
Dev.to · Devanshu Biswas 📐 ML Fundamentals ⚡ AI Lesson 4d ago
Four Rules, Infinite Worlds: Building Conway's Game of Life from Scratch
Conway's Game of Life is the most famous program that isn't really a game. There's no player, no...
Coverage Said 69%, Mutation Testing Said 25%
Dev.to · Jeremy Longshore 📐 ML Fundamentals ⚡ AI Lesson 4d ago
Coverage Said 69%, Mutation Testing Said 25%
A repo at 69% line coverage scored 24.88% on mutation testing—and the rules engine that touches user email scored 0.00%. Coverage said fine; Stryker didn't.
The win that was a coin flip
Dev.to · Alan Scott Encinas 📐 ML Fundamentals ⚡ AI Lesson 4d ago
The win that was a coin flip
The fifth entry in a live builder's log. A parameter sweep handed me a new best score. Three red flags said it was noise wearing a knob's clothing, so I refused
AI Deep Learning: Explained Simply
Dev.to · NIGAPE 📐 ML Fundamentals ⚡ AI Lesson 4d ago
AI Deep Learning: Explained Simply
Every time someone says "AI," what they usually mean, underneath it all, is deep learning. ChatGPT,...
How to Manage the AI Model Lifecycle in Multi-Model Apps
Dev.to · Ye Allen 📐 ML Fundamentals ⚡ AI Lesson 4d ago
How to Manage the AI Model Lifecycle in Multi-Model Apps
Getting access to an AI model is easy. Managing that model in production is harder. A modern AI...
What Is MLIR and Why Does It Exist?
Dev.to · Fedor Nikolaev 📐 ML Fundamentals ⚡ AI Lesson 4d ago
What Is MLIR and Why Does It Exist?
If "MLIR" looks like alphabet soup, this is for you. A ground-up explanation of the problem it solves — with working Python examples.
Activation Functions: Why Non-Linearity Is Everything
Dev.to · Machina Tools 📐 ML Fundamentals ⚡ AI Lesson 4d ago
Activation Functions: Why Non-Linearity Is Everything
A neural network made of only linear layers can only learn linear functions. Activation functions break this. ReLU made deep learning practical. GELU powers GPT
The Python Dictionary Trick That Makes Interviewers Smile
Dev.to · Ameer Abdullah 📐 ML Fundamentals ⚡ AI Lesson 4d ago
The Python Dictionary Trick That Makes Interviewers Smile
There is one dictionary pattern that separates developers who learned Python from developers who...
Shift-Left Meets AI: Catching Bugs Earlier with Predictive ML Models in Your Dev Pipeline
Dev.to · Nareshkumar Soundarajan 📐 ML Fundamentals ⚡ AI Lesson 4d ago
Shift-Left Meets AI: Catching Bugs Earlier with Predictive ML Models in Your Dev Pipeline
The Bug Tax Nobody Talks About A bug caught in production costs roughly 100× more to fix than the...
Building a Scalable Audio Transcription Pipeline with Faster-Whisper
Dev.to · kukmp7g72jn9@163.com 📐 ML Fundamentals ⚡ AI Lesson 4d ago
Building a Scalable Audio Transcription Pipeline with Faster-Whisper
Building a Scalable Audio Transcription Pipeline with Faster-Whisper Modern audio...
How to Learn a Hard Technical Skill Without Burning Out
Dev.to · Anas Kalthoum | FreeBrain 📐 ML Fundamentals ⚡ AI Lesson 5d ago
How to Learn a Hard Technical Skill Without Burning Out
Most developers do not fail at learning because they are lazy. They fail because the plan is too...
Understanding Backpropagation: Calculating Gradients for Hidden Layer Weights and Biases
Dev.to · Ganesh Kumar 📐 ML Fundamentals ⚡ AI Lesson 5d ago
Understanding Backpropagation: Calculating Gradients for Hidden Layer Weights and Biases
Hello, I'm Ganesh. I'm building git-lrc, an AI code reviewer that runs on every commit. It is free,...
Credit risk is more than predicting default: building the full stack in Python (IFRS 9 ECL, scorecards, monitoring)
Dev.to · Oluwagbade Odimayo 📐 ML Fundamentals ⚡ AI Lesson 5d ago
Credit risk is more than predicting default: building the full stack in Python (IFRS 9 ECL, scorecards, monitoring)
Most credit-risk tutorials stop at "train a classifier to predict default." That is maybe a fifth of...
k-means from scratch, and why it sometimes lies
Dev.to · I Want To Learn Programming 📐 ML Fundamentals ⚡ AI Lesson 5d ago
k-means from scratch, and why it sometimes lies
k-means is the go-to clustering algorithm, two simple steps repeated until things settle. But the same data can give different clusters depending on where you s
Why Synthetic Data Is the Biggest Game Changer Pharma and Biotech Research Teams Are Not Fully Using Yet
Dev.to · Jitendra Devabhaktuni 📐 ML Fundamentals ⚡ AI Lesson 5d ago
Why Synthetic Data Is the Biggest Game Changer Pharma and Biotech Research Teams Are Not Fully Using Yet
Every pharma and biotech research team is racing against the same clock. Drug development takes an...
Dropout: Switch Off Neurons to Stop Overfitting
Dev.to · Devanshu Biswas 📐 ML Fundamentals ⚡ AI Lesson 5d ago
Dropout: Switch Off Neurons to Stop Overfitting
Dropout is almost absurdly simple — randomly switch off neurons during training — yet it was one of...
ROC & AUC: Why Accuracy Lies (and What to Use Instead)
Dev.to · Devanshu Biswas 📐 ML Fundamentals ⚡ AI Lesson 5d ago
ROC & AUC: Why Accuracy Lies (and What to Use Instead)
"95% accurate!" — on a dataset that's 95% one class, a model that always guesses that class scores...
Troubleshoot model_not_found in a Multi-Tool Vector Engine Setup
Dev.to · Jia 📐 ML Fundamentals ⚡ AI Lesson 5d ago
Troubleshoot model_not_found in a Multi-Tool Vector Engine Setup
model_not_found is one of the most common errors in OpenAI-compatible integrations, but it is often...
Why Python Is the Most Popular Programming Language
Dev.to · Shruti Das 📐 ML Fundamentals ⚡ AI Lesson 5d ago
Why Python Is the Most Popular Programming Language
When I first started learning Data Science and Generative AI, one question came to my mind: Why does...