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ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
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Showing 1,211 reads from curated sources
AWS Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans
In this post, you will learn how to secure reserved GPU capacity for short-term workloads using Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML

Dev.to · TokenHub
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Stop tuning one model. Route per workload.
"What's the best model?" used to be a meaningful question. Today it has the wrong shape. The useful...

Medium · Programming
📐 ML Fundamentals
⚡ AI Lesson
1w ago
From Academic Paper to Trading Bot: Stochastic Input–Output Networks as a Multi-Asset Mean…
How a 2026 Mathematical Finance paper on supply shocks and sector resilience becomes a fully functional MetaTrader 5 Expert Advisor — with… Continue reading on
Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
You Don’t Understand Backpropagation Until You See Why Training Fails
Backpropagation isn’t just “error going backward.” It explains why your neural network learns, stalls, or becomes unstable. Continue reading on Medium »
Medium · AI
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Most Developers Don’t Understand Search Algorithms (DFS, BFS, A* Finally Explained Clearly)
DFS, BFS, heuristics, A* — these aren’t separate algorithms. They’re one system most people learn in the wrong order. Continue reading on Medium »

Medium · AI
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Tools and Frameworks Used in Deep Learning
Deep learning is one of the fastest-growing technologies today. It is used in things like voice assistants, recommendation systems, and… Continue reading on Med
ArXiv cs.AI
📐 ML Fundamentals
📄 Paper
⚡ AI Lesson
1w ago
Regularized Centered Emphatic Temporal Difference Learning
arXiv:2605.04100v1 Announce Type: new Abstract: Off-policy temporal-difference (TD) learning with function approximation faces a structural tradeoff among stabi
ArXiv cs.AI
📐 ML Fundamentals
📄 Paper
⚡ AI Lesson
1w ago
Budget-aware Auto Optimizer Configurator
arXiv:2605.04711v1 Announce Type: new Abstract: Optimizer states occupy massive GPU memory in large-scale model training. However, gradients in different networ
ArXiv cs.AI
📐 ML Fundamentals
📄 Paper
⚡ AI Lesson
1w ago
On-line Learning in Tree MDPs by Treating Policies as Bandit Arms
arXiv:2605.04979v1 Announce Type: new Abstract: A Tree Markov Decision Problem (T-MDP) is a finite-horizon MDP with a starting state $s_{1}$, in which every sta

Medium · Programming
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Day 87 of My Learnings : Strings in DSA (Part 2 — String Manipulation and Basic Problems)
After understanding the basics of strings, today I focused on actually working with them. Continue reading on Medium »

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Anomaly Detection for a Time-series data
Time series data contains temporal dimension which having time frame. Finding the anomalies is bit different for a regular data. So I… Continue reading on Mediu

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Build a Machine Learning Web App With Claude Code
Take a model from notebook to live URL in one afternoon Continue reading on Medium »

Medium · Data Science
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Build a Machine Learning Web App With Claude Code
Take a model from notebook to live URL in one afternoon Continue reading on Medium »

Medium · Data Science
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Predicting My SRP Bill With SARIMAX — A Phoenix Homeowner’s ML Project
If you live in Phoenix, you already know the dread of opening your SRP bill in August. The air conditioning runs around the clock, and if… Continue reading on M

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
My First Weeks Learning Machine Learning in Korea
I recently started learning Machine Learning. Before this, I heard a lot about AI, but I never really understood what was happening… Continue reading on Medium
Dev.to AI
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Generative Simulation Benchmarking for deep-sea exploration habitat design during mission-critical recovery windows
Generative Simulation Benchmarking for deep-sea exploration habitat design during mission-critical recovery windows Introduction: My Journey into the Abyss of

Medium · Programming
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Why Every Programmer is Unknowingly Following a Rule From 1935: The Zipf Mystery
A Pattern That Shouldn’t Exist Continue reading on Medium »
Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
The Inverse Problem: How Machine Learning Learned to Ask Questions Backwards
Most of what we call AI runs the same arrow forward. The most interesting questions tend to come from running it the other way. Continue reading on Medium »

Medium · Python
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How Deep Reinforcement Learning (RL) Pushed My Limits: Games, Setbacks, and Q‑Learning in Finance
From button mashing in games to exploring financial markets with Python RL, one mistake at a time Continue reading on Medium »

Medium · Deep Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How Deep Reinforcement Learning (RL) Pushed My Limits: Games, Setbacks, and Q‑Learning in Finance
From button mashing in games to exploring financial markets with Python RL, one mistake at a time Continue reading on Medium »

Dev.to · Pelumi Oluwategbe
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Building Mithridatium: Detecting Hidden Backdoors in ML Models
Building an open-source ML backdoor detection framework.

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Why Most AI Projects Never Move Beyond Experimentation
Understanding the operational gap between machine learning experimentation and production-scale AI systems. Continue reading on Medium »

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Making an AI With a Bucket
Pinch yourself. There is a signal delay between when you do and when you feel pain. Continue reading on Medium »

Medium · AI
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Online Filters Create Causal Features: Forecasting with Exponential Smoothing
Day 3 of the Short Series: Signal Processing Tools for Time Series Continue reading on Medium »

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Online Filters Create Causal Features: Forecasting with Exponential Smoothing
Day 3 of the Short Series: Signal Processing Tools for Time Series Continue reading on Medium »

Medium · Data Science
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Online Filters Create Causal Features: Forecasting with Exponential Smoothing
Day 3 of the Short Series: Signal Processing Tools for Time Series Continue reading on Medium »

Medium · Python
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Tutorial Naive Bayes Classifier Dari Konsep hingga Implementasi
Pendekatan Probabilistik Continue reading on Medium »
Medium · Python
📐 ML Fundamentals
⚡ AI Lesson
1w ago
1. Introduction: The Big Question Every Beginner Asks
Every student stepping into programming faces one confusing question: Which language should I learn first? With so many options available… Continue reading on M
Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Machine Learning Made Simple: Understanding Algorithms and Practical Use Cases
A practical, no-jargon guide to every major ML algorithm — supervised, unsupervised, and reinforcement learning explained with real code… Continue reading on Me
Dev.to AI
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How to Automate Bank Statement Analysis: From Messy PDFs to Structured Insights
Every developer in the Fintech space knows the pain of dealing with bank statements. Whether it's a blurry photo, a password-protected PDF, or a unique layout f

Dev.to · Francesco Ira
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How I built an invoice extraction API that works on any PDF layout
How I built an invoice extraction API that works on any PDF layout I kept running into the...

Dev.to · Nomfundo Mtiyane
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How much can a Front-end Developer learn about Machine Learning using only JavaScript?
Robot Playing Piano by Franck V on Unsplash: https://unsplash.com/photos/U3sOwViXhkY Machine Learning...

Medium · Data Science
📐 ML Fundamentals
⚡ AI Lesson
1w ago
FlagGems Best Practices: High‑Performance Element‑wise & Reduction Operators
In the multi‑accelerator era, large model performance depends not only on compute‑heavy operators but also on ubiquitous Element‑wise and… Continue reading on M

Medium · LLM
📐 ML Fundamentals
⚡ AI Lesson
1w ago
FlagGems Best Practices: High‑Performance Element‑wise & Reduction Operators
In the multi‑accelerator era, large model performance depends not only on compute‑heavy operators but also on ubiquitous Element‑wise and… Continue reading on M
Medium · Data Science
📐 ML Fundamentals
⚡ AI Lesson
1w ago
I Built 12 Projects Before These Python Concepts Finally Clicked
Automation Made Practical Continue reading on Stackademic »
Medium · Python
📐 ML Fundamentals
⚡ AI Lesson
1w ago
I Built 12 Projects Before These Python Concepts Finally Clicked
Automation Made Practical Continue reading on Stackademic »

Dev.to · Edith Heroux
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Avoiding Common Pitfalls in AI-Powered Predictive Analytics Implementation
Common Pitfalls in AI-Powered Predictive Analytics and How to Avoid Them As the e-commerce...

Dev.to · jasperstewart
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How to Implement AI-Powered Predictive Analytics in Your E-Commerce Strategy
Step-by-Step Guide to Implementing AI-Powered Predictive Analytics Implementing AI-Powered...

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Stock Price Prediction System Using Machine Learning: Final-Year Project Guide
Need a final-year project that looks advanced, is easy to explain in viva, and has a working demo? A Stock Price Prediction System is one… Continue reading on M

Dev.to · Akhilesh
📐 ML Fundamentals
⚡ AI Lesson
1w ago
55. Multiple Regression: More Features, More Power (And More Ways to Break Things)
In the last post, you predicted house prices using one feature. One number in, one number out. Real...

Medium · Programming
📐 ML Fundamentals
⚡ AI Lesson
1w ago
How to Convert Text to Binary (Beginner-Friendly Guide with Examples)
Computers don’t understand text the way humans do. Instead, they rely on binary code — a system made up of only two digits: 0 and 1. Continue reading on Medium

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Beyond the Empty Dock: How We Used Machine Learning to Optimize Washington D.C.’s Urban Mobility
The Invisible Heartbeat of Washington, D.C. Continue reading on Medium »

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
DBSCAN Explained: Clustering Data by Density, Not Distance
Welcome to another post in my ongoing machine learning adventure. This blog is part of a series where I’m diving into the world of ML —… Continue reading on Med

Medium · Programming
📐 ML Fundamentals
⚡ AI Lesson
1w ago
DBSCAN Explained: Clustering Data by Density, Not Distance
Welcome to another post in my ongoing machine learning adventure. This blog is part of a series where I’m diving into the world of ML —… Continue reading on Med
Medium · LLM
📐 ML Fundamentals
⚡ AI Lesson
1w ago
When Your Model Doesn’t Learn: The Power of Learning Rate
A model is training. The code runs fine. The data looks good. The architecture is solid. Continue reading on Medium »

Medium · Deep Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
Ilya’s List, Part 17: Relational Recurrent Neural Networks: What If an RNN Had More Than One…
A normal recurrent neural network is pretty easy to describe. Continue reading on Medium »

Medium · Machine Learning
📐 ML Fundamentals
⚡ AI Lesson
1w ago
When Your Model Does Not Know What It Does Not Know: A Drug Discovery ML Project
Building a molecular binding affinity prediction pipeline with Graph Attention Networks, MC Dropout uncertainty quantification, and… Continue reading on Medium

Medium · Data Science
📐 ML Fundamentals
⚡ AI Lesson
1w ago
When Your Model Does Not Know What It Does Not Know: A Drug Discovery ML Project
Building a molecular binding affinity prediction pipeline with Graph Attention Networks, MC Dropout uncertainty quantification, and… Continue reading on Medium
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