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 1,234 reads from curated sources

How Traditional ML Beats Powerful LLMs at Interpretability
Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
How Traditional ML Beats Powerful LLMs at Interpretability
The Day Accuracy Wasn’t Enough Continue reading on Medium »
How Traditional ML Beats Powerful LLMs at Interpretability
Medium · LLM 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
How Traditional ML Beats Powerful LLMs at Interpretability
The Day Accuracy Wasn’t Enough Continue reading on Medium »
Tuning ML hyperparameters with a swarm optimizer inspired by parrot behavior
Dev.to · Vijay Govindaraja 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Tuning ML hyperparameters with a swarm optimizer inspired by parrot behavior
When you train a neural network or any ML model, performance depends heavily on hyperparameters —...
Day 23: Support Vector Machines (SVM) — Finding the Best Boundary
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
Day 23: Support Vector Machines (SVM) — Finding the Best Boundary
In Day 23 of my learning journey, I explored Support Vector Machines (SVM), one of the most powerful supervised machine learning… Continue reading on Medium »
Day 23: Support Vector Machines (SVM) — Finding the Best Boundary
Medium · Data Science 📐 ML Fundamentals 1mo ago
Day 23: Support Vector Machines (SVM) — Finding the Best Boundary
In Day 23 of my learning journey, I explored Support Vector Machines (SVM), one of the most powerful supervised machine learning… Continue reading on Medium »
One important lesson when building reforestation vs. deforestation monitoring systems
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
One important lesson when building reforestation vs. deforestation monitoring systems
We increasingly recognize the importance of protecting the world’s forest. Continue reading on Medium »
“Mengungkap Sentimen di Instagram”
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
“Mengungkap Sentimen di Instagram”
Analisis Hasil Pertandingan Timnas Indonesia di Kualifikasi Piala Dunia dengan Algoritma SVM Continue reading on Medium »
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
GRU in NLP: A Simpler Alternative to LSTM That Still Works Very Well
In a previous NLP series blog, we learned about LSTM and why it became an important sequence model. It was introduced because RNNs… Continue reading on Medium »
Medium · NLP 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
GRU in NLP: A Simpler Alternative to LSTM That Still Works Very Well
In a previous NLP series blog, we learned about LSTM and why it became an important sequence model. It was introduced because RNNs… Continue reading on Medium »
When to Use a Tuple vs frozenset in Python ?
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
When to Use a Tuple vs frozenset in Python ?
When people first learn Python, tuple often gets introduced as: Continue reading on Medium »
GNN (Graph Neural Networks) Nedir?
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
GNN (Graph Neural Networks) Nedir?
Yapay zeka dünyasında “derin öğrenme” denince çoğumuzun aklına ya sıralı metinleri anlayan modeller (ChatGPT gibi) ya da pikselleri analiz… Continue reading on
GNN (Graph Neural Networks) Nedir?
Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
GNN (Graph Neural Networks) Nedir?
Yapay zeka dünyasında “derin öğrenme” denince çoğumuzun aklına ya sıralı metinleri anlayan modeller (ChatGPT gibi) ya da pikselleri analiz… Continue reading on
PCA Explained Visually in 3D: From Data to Principal Components Step-by-Step
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1mo ago
PCA Explained Visually in 3D: From Data to Principal Components Step-by-Step
Understand the principal component analysis in five steps. Continue reading on Medium »
Dynamic Programming: Solving MDP When You Know the environment rules
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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 1mo 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?...