Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
Skills in this topic
4 skills — Sign in to track your progress

Dev.to · Rishika Chanda
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
From Concept to Code: Building an AI-Based Adverse Drug Reaction Detection System
Our approach to tackling a real-world healthcare challenge using practical machine learning and...

Dev.to · Printo Tom
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How We Built a Real-Time Credit Card Fraud Detection System: An Architect's Perspective
Every millisecond counts when it comes to fraud. A fraudulent transaction approved in 200ms costs...

Dev.to · Prince Raj
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Part 3: Turning Text Into Numbers - Bag of Words, Keywords, and Embeddings Without the Magic
The question every beginner eventually asks At some point in every AI project, you run...

Dev.to · Proof Matcher
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
TypeScript for Beginners: Complete Guide 2026
Why TypeScript in 2026 is Non-Negotiable TypeScript has crossed the threshold from...

Dev.to · Elise Moreau
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why Your Diffusion Model Is Slow at Inference (And It's Not the UNet)
TL;DR: Most inference bottlenecks in diffusion pipelines are not in the UNet denoising loop. They are...

Dev.to · Vishal Uttam Mane
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Automated Machine Learning (AutoML) in Production
Automated Machine Learning, commonly known as AutoML, has emerged as a critical paradigm for...

Dev.to · Alankrit Verma
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Last Pivot: Why Quality Gates Killed My Final KV-Cache Speedup
I wanted to answer one question: After packed-codebook TurboQuant failed, was there still a...

Dev.to · Alankrit Verma
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Beating Eager TurboQuant Was Not Enough: Why Dense GPU Attention Still Won
I wanted to answer one question: If I remove eager overhead, can a TurboQuant-style compressed...

Dev.to · Charles Zhang
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
DevLog 20260426: Divooka Mandelbrot Benchmark – Putting Our Scripting Language to the Test
Today we released the first public version of DivookaBenchmark_Mandelbrot — a standardized benchmark...

Dev.to · COMMENTERTHE9
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Cx Dev Log — 2026-04-26
The IR backend has entered Phase 11. This shift brings unary expression lowering into the spotlight,...

Dev.to · Gary Jackson
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Chapter 7: The Training Loop and Adam Optimiser
Assemble a full training loop: forward, loss, backward, and Adam parameter updates with momentum, adaptive scaling, and learning rate decay.

Dev.to · BELLO ABD'QUADRI BOLAJI
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Balancing Of CS Studies With Learning Programming Language & Tutoring 🙂
It's understandable how difficult is for we most students to achieve our goals when it comes to...

Dev.to · Madhan Alagarsamy
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Keras Deserialization Safe Mode: Security Capabilities and Limitations
Overview This article analyzes the security behavior of Keras safe mode during model...

Dev.to · Gabriel Anhaia
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Claude Code's Reasoning Was Silently Lowered. Caught a Month Late.
Latency was fine. Error rate was fine. The model just got dumber. Here's the eval rig that catches silent regressions traditional monitoring can't see.
Dev.to · Fabio Sarmento
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
How AI-Driven Model Distillation is Reshaping the Future of Technology
The Next Frontier in Artificial Intelligence In the ever-evolving landscape of technology,...

Dev.to · Yahid Basha
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
When my RL agent started writing about Star Wars instead of fixing servers
A Sunday-morning postmortem on teaching a 3B model to do enterprise IT triage with GRPO. It's 1 AM...

Dev.to · namakoo [IDFU]
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
# Curating Python failures for DPO: notes from the rejected side
Most of the work in DPO training data is on the rejected side. The chosen side has gold-standard...

Dev.to · Simon Paxton
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
A 14-Author Paper Tries to Make Deep Learning Theory a Science
A 14-author perspective paper posted to arXiv on April 23 argues that deep learning theory is...

Dev.to · Alan West
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why Your Neural Network Fails Silently and How to Actually Debug It
Practical debugging strategies for deep learning models that fail silently, from data pipeline checks to gradient monitoring and distribution shift detection.

Dev.to · Orbit Websites
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
"Level Up Your Code: Top 10 TypeScript Libraries to Master in 2025 for Next-Level Development"
Level Up Your Code: Top 10 TypeScript Libraries to Master in 2025 for Next-Level...
Dev.to · pixelbank dev
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Training Infrastructure — Deep Dive + Problem: NeRF Ray Sampling
A daily deep dive into llm topics, coding problems, and platform features from PixelBank. ...

Dev.to · Gary Jackson
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Chapter 6: Embeddings, the Forward Pass, and the Loss Function
Give tokens and positions learned vector identities, assemble a minimal forward pass to logits, and compute cross-entropy loss.

Dev.to · Silver_dev
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Bayes' theorem in machine learning
Bayes' Theorem describes how to update the probability of a hypothesis when new data is obtained. It...

Dev.to · Python-T Point
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Master AI and Machine Learning: A Step-by-Step Guide AI and Machine Learning Roadmap (Beginner to Advanced)
📍 Introduction: Why You Need an AI and Machine Learning Roadmap (Beginner to...

Dev.to · Dolly Sharma
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Part-03 Tensorflow
📊 TensorFlow Computational Graph 🔹 What is a Computational Graph? A...

Dev.to · Mike Vincent
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Quark's Outlines: Python Internal Types
What are Python internal types? Learn about code objects, frames, and more.

Dev.to · Dolly Sharma
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Gradient Descent
You’re very close, but one important idea needs correction 👇 📌 🔹 What is Gradient...

Dev.to · Ege Pakten
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Machine Learning Lifecycle: 10 Steps From Problem to Production (And Why Most Projects Fail at Step 3)
Every ML tutorial jumps straight to model training. But in the real world, training is step 7 out of...

Dev.to · Suhas Mallesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Azure ML Pipelines + Azure DevOps: CI/CD for ML with Terraform 🔁
Manual ML retraining is a reliability risk. Azure ML Pipelines orchestrates the ML workflow while...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
NumPy Arrays: Why Not Just Use a Python List?
You have been using NumPy arrays since post 17. np.array([1, 2, 3]). np.zeros((3, 4))....

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Linear Algebra in NumPy: Math With Code
Ten posts. Vectors. Matrices. Dot products. Matrix multiplication. Derivatives. Gradient descent....

Dev.to · Dhaivat Jambudia
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Building a Production-Ready ML System for Supply Chain Late Delivery Risk Prediction
The Problem: “Will This Order Arrive Late?” In any supply chain, late deliveries hurt...

Dev.to · nandhu_sauce
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I Built a Pneumonia Detection AI on My MacBook — Here's Exactly How It Works
I just finished building a deep learning system that identifies pneumonia from chest X-rays with 96%...

Dev.to · Alejandro Tacoronte González
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
🎧 Expanding the GTZAN Dataset: A Journey from YouTube to Mel Spectrograms
I am currently finishing my specialization in Artificial Intelligence and Big Data, and I’ve decided...

Dev.to · 松崎まさひろ
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Stop Punishing Your Users with CAPTCHA: How I Built a Invisible Spam Blocker
If you've ever managed a website for a small business, you know the problem. Monday morning. You...

Dev.to · Ayrat Murtazin
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Algorithmically Identifying Stock Price Support and Resistance in Python
Detect key price levels automatically using local extrema and kernel density estimation in pandas.

Dev.to · Samaresh Das
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Why tutorials don't make you a developer
You just finished a 10-hour coding tutorial, so why can't you build a website? That feeling of...

Dev.to · Aniket Singh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
🌸 Iris Classifier ML Pipeline — Complete Tutorial & Instructions Manual
Iris Classifier ML Pipeline — Complete Tutorial & Instructions Manual Who this is...

Dev.to · David Thomas
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Build an Offline ESP32 Voice Assistant (Speech-to-Text Without Internet)
Voice control is everywhere now. From smart homes to simple DIY automation, talking to devices just...

Dev.to · Vishal Uttam Mane
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Self-Learning: The Most Powerful Way to Grow
In modern machine learning systems, data is often the limiting factor, not algorithms. High-quality...

Dev.to · Prashik besekar
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
I Spent a Full Day Debugging This Python Error — Here's What Fixed It in 30 Seconds
The most embarrassing debugging story I've ever told. And the lesson every Python beginner needs to...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Gradient Descent: How AI Learns
You are blindfolded in a hilly landscape. Your only goal is to reach the lowest point in the...

Dev.to · qcrao
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Engineering Challenge of Turning YouTube Into an ESL Corpus
Language learning apps have spent a decade chasing the same pattern: curate a 2,000-word...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Derivatives: Understanding Change
Your model made a prediction. The prediction was wrong. Not just wrong. You have a number that...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Matrix Multiplication: Transforming Data Into Meaning
Here is something most AI tutorials hide from you. A neural network layer is matrix...

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
The Dot Product: How AI Measures Similarity
Two users on a music app. User A listens to jazz, blues, and soul. User B listens to jazz, blues,...

Dev.to · Naveen Karasu
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Day 1/60: Rust DSA environment setup - Rust DSA
A focused walkthrough of rust dsa environment setup built around building a Rust workspace that makes daily DSA work fast to run, test, and benchmark.
Dev.to · pixelbank dev
📐 ML Fundamentals
⚡ AI Lesson
2mo ago
Serving Infrastructure — Deep Dive + Problem: Softmax Function
A daily deep dive into llm topics, coding problems, and platform features from PixelBank. ...
DeepCamp AI