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

Showing 549 reads from curated sources

Dynamic Programming: Solving MDP When You Know the environment rules
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Dynamic Programming: Solving MDP When You Know the environment rules
In the last article we built the complete language of reinforcement learning. States, actions, rewards, transitions, value functions, the… Continue reading on M
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Mastering Coding Languages: Your Gateway to a Successful Tech Career | AGN HUB
In today’s digital world, coding is more than just a skill — it’s a powerful ability. Whether you want to build websites, create apps, or… Continue reading on M
45 days Python training summer internship with practical training
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1w ago
45 days Python training summer internship with practical training
A 45 Days Python Training Summer Internship with Practical Training is one of the best ways to start your journey in programming and… Continue reading on Medium
Choosing the Right Python Data Structure: List, Tuple, Set, or Dictionary?
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Choosing the Right Python Data Structure: List, Tuple, Set, or Dictionary?
A practical guide to understanding when — and why — to reach for each one. Continue reading on Medium »
The End of Rubbish Pricing: Why Manual Estimates Are Now Obsolete
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
The End of Rubbish Pricing: Why Manual Estimates Are Now Obsolete
The current state of waste management is, quite frankly, an environmental and economic embarrassment. Continue reading on Medium »
Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
We Hit 99.1% on the LOCOMO Benchmark. Here's How.
We Hit 99.1% on the LOCOMO Benchmark. Here's How. Last week, we hit 99.1% accuracy on the LOCOMO benchmark. For context: Mem0 : 26% Engram : 79.6% Muninn : 99.1
Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
QIS vs DiLoCo: Why Google's Distributed Training Breakthrough and Quadratic Intelligence Swarm Solve Completely Different Problems
You are trying to train a large language model across 64 machines without transferring terabytes of gradient data every round. Or you are trying to route what a
Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
QIS (Quadratic Intelligence Swarm) vs HPE Swarm Learning: Why Routing Outcomes Beats Routing Gradients
Cross-hospital health AI runs into the same wall every time: patient data cannot move freely between institutions. HIPAA, GDPR, IRB restrictions, and plain inst
You Can’t Build AI Systems Without Understanding These 6 Concepts First
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
You Can’t Build AI Systems Without Understanding These 6 Concepts First
The foundational ideas every AI engineer uses daily, explained simply, with real examples and zero skipped steps Continue reading on AI Engineering Simplified »
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Demystifying AI: From First Principles to Future Fears
The Core Truth AI isn’t magic or consciousness — it’s massive-scale pattern matching using mathematical functions with billions of… Continue reading on Medium »
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Demystifying AI: From First Principles to Future Fears
TL;DR — The Core Truth AI isn’t magic or consciousness — it’s massive-scale pattern matching using mathematical functions with billions of… Continue reading on
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
The First Act of Creation Is Not Building — It Is Naming
Why creation begins long before code, matter, or form Continue reading on Medium »
Vertex AI Endpoints: Deploy Your Model to Production with Terraform
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Vertex AI Endpoints: Deploy Your Model to Production with Terraform
Your model is trained. Now deploy it to a scalable endpoint with autoscaling, traffic splitting for canary rollouts, and request-response… Continue reading on M
I Built an AI Signal Bot That Filters Out 90% of Bad Trades. Here’s How It Works.
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
I Built an AI Signal Bot That Filters Out 90% of Bad Trades. Here’s How It Works.
Most traders don’t lose because of bad entries. They lose because they can’t tell the difference between a real move and a trap. Continue reading on Medium »
Machine Learning Interview Questions Part 1: Core Concepts Every Engineer Must Know
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Machine Learning Interview Questions Part 1: Core Concepts Every Engineer Must Know
From supervised learning to train test splits build rock solid fundamentals before your next AI/ML interview. Continue reading on EndToEndData »
Medium · NLP 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Word2Vec Explained: How Machines Finally Learned the Meaning of Words
The 2013 Google paper that changed NLP forever Continue reading on Medium »
Stop Writing Python Functions the Wrong Way — Do This Instead
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Stop Writing Python Functions the Wrong Way — Do This Instead
Most Python tutorials teach you to write functions that technically work. But “works” and “good” aren’t the same thing — here’s how to… Continue reading on The
I Was Hunting a Fortran Bug. Then a Chasm Opened Between Math and Machines.
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 1w ago
I Was Hunting a Fortran Bug. Then a Chasm Opened Between Math and Machines.
Sometimes the bug isn’t in the code. An AI-assisted debugging session exposed the gap between a formula everyone trusts and the machine… Continue reading on Med
Predicting Genetic Diseases with Machine Learning and Explainable AI for Early Diagnosis
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Predicting Genetic Diseases with Machine Learning and Explainable AI for Early Diagnosis
Have you ever thought about how genetic diseases can be nearly preventable with advanced technology? What if diseases like cystic fibrosis… Continue reading on
Predicting Genetic Diseases with Machine Learning and Explainable AI for Early Diagnosis
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Predicting Genetic Diseases with Machine Learning and Explainable AI for Early Diagnosis
Have you ever thought about how genetic diseases can be nearly preventable with advanced technology? What if diseases like cystic fibrosis… Continue reading on
Predicting Genetic Diseases with Machine Learning and Explainable AI for Early Diagnosis
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Predicting Genetic Diseases with Machine Learning and Explainable AI for Early Diagnosis
Have you ever thought about how genetic diseases can be nearly preventable with advanced technology? What if diseases like cystic fibrosis… Continue reading on
Building a Rain Prediction Model for Abuja: From Raw Weather Data to a Production XGBoost…
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Building a Rain Prediction Model for Abuja: From Raw Weather Data to a Production XGBoost…
A guide to predicting daily rain in Abuja using strict time-series feature engineering, walk-forward validation, and actionable evaluation… Continue reading on
Building a Rain Prediction Model for Abuja: From Raw Weather Data to a Production XGBoost…
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Building a Rain Prediction Model for Abuja: From Raw Weather Data to a Production XGBoost…
A guide to predicting daily rain in Abuja using strict time-series feature engineering, walk-forward validation, and actionable evaluation… Continue reading on
Building Systems That Think Ahead
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Building Systems That Think Ahead
How I Started Treating Python Like an Automation Engine Instead of a Programming Language. Continue reading on Top Python Libraries »
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Sınıflandırma Modelleri
Sınıflandırma, bir girdinin önceden tanımlanmış kategorilerden hangisine ait olduğunu belirleme görevidir. Continue reading on Medium »
The Only Docker Tutorial Data Scientists Actually Need
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
The Only Docker Tutorial Data Scientists Actually Need
A practical guide for data scientists who want to finally understand Docker and deploy anywhere. Continue reading on Medium »
ATR-Based Major Levels and Volatility-Confirmed Breakouts
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1w ago
ATR-Based Major Levels and Volatility-Confirmed Breakouts
Breakout trading often looks simple on paper: price moves above resistance or below support, and the move is treated as significant. In… Continue reading on Med
Why I Chose AutoML Over Imagen for Precise Image Control
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Why I Chose AutoML Over Imagen for Precise Image Control
“A practical guide to building a custom image model on Google Cloud using AutoML Vision and Vertex AI.” Your data. Your labels. Your model. Continue reading on
Abstract Base Classes and Properties in Python: A DRY Way to Enforce Validation
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Abstract Base Classes and Properties in Python: A DRY Way to Enforce Validation
Python developers usually meet abstract base classes in a familiar role: define a contract, force subclasses to implement required methods… Continue reading on
CNNs Explained: How Image Classification Actually Works in Deep Learning
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
CNNs Explained: How Image Classification Actually Works in Deep Learning
Understanding CNNs means understanding how models turn raw pixels into structured representations....
Neural Network Optimization Challenges — Fixing Vanishing Gradients with Better Architecture Design
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Neural Network Optimization Challenges — Fixing Vanishing Gradients with Better Architecture Design
Vanishing gradients are one of the main reasons deep neural networks fail. If your deeper model...
How Neural Networks Actually Learn: Backpropagation, Gradients, and Training Loop (Developer Guide)
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
How Neural Networks Actually Learn: Backpropagation, Gradients, and Training Loop (Developer Guide)
Learn how neural networks train using forward propagation, loss functions, and backpropagation. This...
Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Multilayer Perceptron (MLP): A Practical Way to Understand Neural Networks
Multilayer Perceptrons (MLPs) are the foundation of deep learning. This guide explains MLP intuition, real-world usage, and when you should (and shouldn’t) use
Multilayer Perceptron (MLP) — How Neural Networks Learn Representations, Probabilities, and Gradients
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Multilayer Perceptron (MLP) — How Neural Networks Learn Representations, Probabilities, and Gradients
Multilayer Perceptron (MLP) is the simplest neural network worth learning deeply. It looks basic,...
Regularization in Machine Learning — How to Actually Prevent Overfitting (L1, L2, Dropout)
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Regularization in Machine Learning — How to Actually Prevent Overfitting (L1, L2, Dropout)
What is regularization in machine learning, and how do you actually prevent overfitting in practice?...
Optimization in Machine Learning — How Models Learn Parameters and What Actually Improves Training
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Optimization in Machine Learning — How Models Learn Parameters and What Actually Improves Training
Learn how optimization in machine learning works, from parameter learning and loss minimization to...
Optimization vs Regularization — The Real Reason Your Model Overfits (and How to Fix It)
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Optimization vs Regularization — The Real Reason Your Model Overfits (and How to Fix It)
Most deep learning problems are not architecture problems. They are training...
Logistic Regression on MNIST (0 vs 1) in PHP: A Simple Example
Dev.to · Samuel Akopyan 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Logistic Regression on MNIST (0 vs 1) in PHP: A Simple Example
Want to get a real feel for machine learning in practice? Here’s a simple but powerful exercise:...
Theoretical Foundations of Deep Learning (Why Neural Networks Actually Work)
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Theoretical Foundations of Deep Learning (Why Neural Networks Actually Work)
Deep learning and neural networks work because of entropy, KL divergence, probability distributions,...
Fundamentals of Neural Networks: How Simple Math Scales into Modern AI
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Fundamentals of Neural Networks: How Simple Math Scales into Modern AI
Neural networks power modern AI—from image recognition to large language models. This guide breaks...
Linear Models in Machine Learning: Why They Still Matter (Regression, Classification, Logistic Regression)
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Linear Models in Machine Learning: Why They Still Matter (Regression, Classification, Logistic Regression)
Linear models in machine learning are the foundation of regression, classification, and logistic...
Model Complexity and Generalization: How to Actually Fix Overfitting
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Model Complexity and Generalization: How to Actually Fix Overfitting
If you've ever trained a model that looked perfect during training but failed in production, you've...
Machine Learning Tasks and Evaluation: How to Choose the Right Metrics and Avoid Common Pitfalls
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Machine Learning Tasks and Evaluation: How to Choose the Right Metrics and Avoid Common Pitfalls
Understand how different machine learning tasks require different evaluation strategies. Learn how to...
What Machine Learning Really Means: From Rules to Data-Driven Systems
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
What Machine Learning Really Means: From Rules to Data-Driven Systems
Machine learning is the foundation of modern AI systems. Learn how models improve from data, optimize...
Why are efficient algorithms the true energy of the future?
Dev.to · ROBERTO ALEMAN 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Why are efficient algorithms the true energy of the future?
In the age of modern computing, we have fallen into a dangerous trap of abundance. Hardware power has...
Integrating Model Context Protocol (MCP) into Nautilus
Dev.to · chunxiaoxx 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Integrating Model Context Protocol (MCP) into Nautilus
The Future of MCP on Nautilus The Model Context Protocol (MCP) is rapidly becoming the...
Traditional Machine Learning in Practice: Learning Paradigms, Algorithm Families, and Evaluation Perspectives
Dev.to · shangkyu shin 📐 ML Fundamentals ⚡ AI Lesson 1w ago
Traditional Machine Learning in Practice: Learning Paradigms, Algorithm Families, and Evaluation Perspectives
Traditional machine learning is more than just algorithms. This guide explains how learning...
I built a free LeetCode visualizer. Here's what I learned making 207 problems animate line by line.
Dev.to · Rajan shukla 📐 ML Fundamentals ⚡ AI Lesson 1w ago
I built a free LeetCode visualizer. Here's what I learned making 207 problems animate line by line.
I spent months grinding LeetCode. I could read solutions. I could even explain them out loud. But the...