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
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Enhancing AI-Powered Agriculture with Fruit Level & Maturity Detection
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Enhancing AI-Powered Agriculture with Fruit Level & Maturity Detection
Artificial Intelligence is transforming agriculture in remarkable ways. From smart irrigation systems to automated harvesting, AI is… Continue reading on Medium
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Prime Spiral Cosmology and the 24-Dimensional Leech Lattice A Dual-Universe Model via Modular…
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Prime Spiral Cosmology and the 24-Dimensional Leech Lattice A Dual-Universe Model via Modular…
Continue reading on Medium »
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Decision Trees — ID3 Algorithm
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Decision Trees — ID3 Algorithm
Decision Trees are often the first algorithm people truly understand in machine learning. Unlike black-box models, they show you exactly… Continue reading on Me
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Decision Trees — ID3 Algorithm
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Decision Trees — ID3 Algorithm
Decision Trees are often the first algorithm people truly understand in machine learning. Unlike black-box models, they show you exactly… Continue reading on Me
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Which Machine Learning Model Works Best for Binary Classification? A Real-World Benchmark Study
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Which Machine Learning Model Works Best for Binary Classification? A Real-World Benchmark Study
A comparative analysis of Logistic Regression, SVM, Random Forest, XGBoost, and Neural Networks on structured tabular data. Continue reading on Medium »
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Which Machine Learning Model Works Best for Binary Classification? A Real-World Benchmark Study
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Which Machine Learning Model Works Best for Binary Classification? A Real-World Benchmark Study
A comparative analysis of Logistic Regression, SVM, Random Forest, XGBoost, and Neural Networks on structured tabular data. Continue reading on Medium »
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Which Machine Learning Model Works Best for Binary Classification? A Real-World Benchmark Study
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Which Machine Learning Model Works Best for Binary Classification? A Real-World Benchmark Study
A comparative analysis of Logistic Regression, SVM, Random Forest, XGBoost, and Neural Networks on structured tabular data. Continue reading on Medium »
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Machine Learning Tasks: Same Data, Different Outcomes
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Machine Learning Tasks: Same Data, Different Outcomes
So far, we’ve talked about: 1. what machine learning is 2. how models learn Continue reading on Medium »
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Machine Learning Tasks: Same Data, Different Outcomes
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Machine Learning Tasks: Same Data, Different Outcomes
So far, we’ve talked about: 1. what machine learning is 2. how models learn Continue reading on Medium »
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Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
How to Train CNNs Properly: Data Augmentation, Preprocessing, and Batch Normalization as One System
A complete deep dive into data processing and normalization techniques for stable CNN training and strong generalization performance Continue reading on Medium
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Linear Perturbation Theory in the Dual Sheet Model: The Radion Kernel, Vainshtein Screening, and…
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Linear Perturbation Theory in the Dual Sheet Model: The Radion Kernel, Vainshtein Screening, and…
Matthew Hodgkins Continue reading on Medium »
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Fuzzy Association Rule Mining
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Fuzzy Association Rule Mining
Discover how fuzzy logic makes association rule mining more realistic and powerful for real-world data. Continue reading on Medium »
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What We Learned Teaching a Machine to Pick NBA Winners
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
What We Learned Teaching a Machine to Pick NBA Winners
There’s a line from Casino that lives in my head rent-free: Sam “Ace” Rothstein, played by Robert De Niro, explains that he was “the best… Continue reading on M
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AWS Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Introducing granular cost attribution for Amazon Bedrock
In this post, we share how Amazon Bedrock's granular cost attribution works and walk through example cost tracking scenarios.
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I Built a Full-Stack NYC Neighborhood Intelligence App
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
I Built a Full-Stack NYC Neighborhood Intelligence App
From 1.35 million raw 311 complaints to a live ML-powered dashboard with SHAP explainability — in five phases Continue reading on Medium »
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The Death of RLHF: A Practitioner’s Guide to the New Post-Training Stack
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
The Death of RLHF: A Practitioner’s Guide to the New Post-Training Stack
GRPO, DAPO, and RLVR didn’t just improve on RLHF — they replaced it. Here’s why the old recipe broke, and what’s actually shipping now. Continue reading on Towa
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The Graveyard of Models: Why 87% of ML Models Never Reach Production
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
The Graveyard of Models: Why 87% of ML Models Never Reach Production
An investigation into the silent epidemic killing our best work Continue reading on Medium »
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The Graveyard of Models: Why 87% of ML Models Never Reach Production
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
The Graveyard of Models: Why 87% of ML Models Never Reach Production
An investigation into the silent epidemic killing our best work Continue reading on Medium »
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The Graveyard of Models: Why 87% of ML Models Never Reach Production
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
The Graveyard of Models: Why 87% of ML Models Never Reach Production
An investigation into the silent epidemic killing our best work Continue reading on Medium »
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CCA-001 Study Guide: How to Pass the Claude Certified Architect Exam
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
CCA-001 Study Guide: How to Pass the Claude Certified Architect Exam
The exact exam structure, all five domains with weightings, the six production scenarios, the concepts that trip most candidates, and the… Continue reading on M
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Online feature serving on Databricks Lakebase
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Online feature serving on Databricks Lakebase
Disclaimer: These are my personal views, not those of Databricks. Continue reading on Medium »
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Open-Sourcing the Universe’s Code: Factorized Machine Learning Finds the Geometry High-k…
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Open-Sourcing the Universe’s Code: Factorized Machine Learning Finds the Geometry High-k…
Fundamental Density Theory (FDT): Dragging Physics Kicking and Screaming Out of a Century-Long Rabbit Hole and Back to Reality. Continue reading on Medium »
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Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Week 2, episode 3 — Smarter Model Training: A Python Bootcamp Playbook
Learn the secrets of optimizers, schedulers, and regularization to dramatically improve your deep learning model performance. Continue reading on Medium »
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Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Week 2, episode 4 — Stop Chasing Accuracy: The Python Bootcamp Guide to Trustworthy AI
Learn the vital data science concepts — calibration and uncertainty — that are often missed in a typical curriculum. Continue reading on Medium »
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Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Week 2, episode 3 — Smarter Model Training: A Python Bootcamp Playbook
Learn the secrets of optimizers, schedulers, and regularization to dramatically improve your deep learning model performance. Continue reading on Medium »
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Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Week 2, episode 4 — Stop Chasing Accuracy: The Python Bootcamp Guide to Trustworthy AI
Learn the vital data science concepts — calibration and uncertainty — that are often missed in a typical curriculum. Continue reading on Medium »
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Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Week 2, episode 3 — Smarter Model Training: A Python Bootcamp Playbook
Learn the secrets of optimizers, schedulers, and regularization to dramatically improve your deep learning model performance. Continue reading on Medium »
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How Neural Networks Actually Work — Inside the “Brain” of Modern AI
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 4w ago
How Neural Networks Actually Work — Inside the “Brain” of Modern AI
Part 2 of the “AI, Decoded” series — No PhD required. Continue reading on AI, Simply Decoded »
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Unlocking the Secret Features of LINQ
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Unlocking the Secret Features of LINQ
Previously, I wrote an article about a handy ‘weird’ method that prevents empty collections. Continue reading on Medium »
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Adaptive Ensemble Detection with Hybrid Retraining (AEDHR)
As ML models enter production, they face a silent enemy — data drift..." Continue reading on Medium »
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Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Adaptive Ensemble Detection with Hybrid Retraining (AEDHR)
As ML models enter production, they face a silent enemy — data drift..." Continue reading on Medium »
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Build a Future in AI with Data Science Training in Bangalore!
Join Learnmore Technologies and master Python, Machine Learning, and Data Analysis with hands-on training. Work on real-time projects and gain industry-ready sk
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Jangan ngasal ngelatih model
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Jangan ngasal ngelatih model
Sekarang, banyak orang ataupun perusahaan yang melibatkan AI atau kecerdasan buatan untuk membantu mereka. Entah itu dari membuat profit… Continue reading on Me
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Isolating Outliers: How AI Dravexyron Protects Data Purity
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Isolating Outliers: How AI Dravexyron Protects Data Purity
Financial markets process millions of data points every second, making occasional data glitches and isolated flash crashes entirely… Continue reading on Medium
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Python and Databases: A Beginner’s Guide to Using SQLite
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Python and Databases: A Beginner’s Guide to Using SQLite
One of the most essential skills for any developer is knowing how to make an application talk to a database. If you are using Python, the… Continue reading on M
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Python and Databases: A Beginner’s Guide to Using SQLite
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Python and Databases: A Beginner’s Guide to Using SQLite
One of the most essential skills for any developer is knowing how to make an application talk to a database. If you are using Python, the… Continue reading on M
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Causal Inference with DoWhy (6): Diagnostics with Standardised Mean Difference (SMD)
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Causal Inference with DoWhy (6): Diagnostics with Standardised Mean Difference (SMD)
If you’ve followed Parts 1 to 5 of this series, you should already be able to run causal inference with DoWhy in practice. Continue reading on Data Science Expl
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ArXiv cs.AI 📐 ML Fundamentals 📄 Paper ⚡ AI Lesson 4w ago
Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
arXiv:2604.14221v1 Announce Type: new Abstract: Reliable evaluation of anomaly detection methods in multivariate time series remains an open challenge, largely
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ArXiv cs.AI 📐 ML Fundamentals 📄 Paper ⚡ AI Lesson 4w ago
Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making
arXiv:2604.14240v1 Announce Type: new Abstract: The simulation of complex systems increasingly relies on sophisticated but fundamentally opaque computational bl
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ArXiv cs.AI 📐 ML Fundamentals 📄 Paper ⚡ AI Lesson 4w ago
Improving Machine Learning Performance with Synthetic Augmentation
arXiv:2604.14498v1 Announce Type: new Abstract: Synthetic augmentation is increasingly used to mitigate data scarcity in financial machine learning, yet its sta
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Erik Brynjolfsson: The Cost of Getting It Right
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Erik Brynjolfsson: The Cost of Getting It Right
Basil C. Puglisi Chapter 13 in The Minds That Bend the Machine: The Voices Shaping Responsible AI Governance — Wave III: Regulators &… Continue reading on Mediu
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A brief insight into the Theory of Relative Computational Equivalence
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 4w ago
A brief insight into the Theory of Relative Computational Equivalence
Performing computation lies at the very heart of computer science. Continue reading on Medium »
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 4w ago
From Raw Data to Curated Carts: Building a Retail ML Pipeline
A step-by-step ML pipeline for retail personalization at scale is a structured sequence of data engineering, model training, and serving infrastructure that tra
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4w ago
We Tested AI for Live Trading. Here’s Why It Failed.
We ran 24,000+ experiments testing whether AI could improve live crypto trading execution. After 10 prompt versions, months of parallel… Continue reading on Med
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Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 4w ago
We Tested AI for Live Trading. Here’s Why It Failed.
We ran 24,000+ experiments testing whether AI could improve live crypto trading execution. After 10 prompt versions, months of parallel… Continue reading on Med
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Structural Prediction Is Both Observation and Design
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 4w ago
Structural Prediction Is Both Observation and Design
Why the Future Is Not Only Read, but Also Shaped Continue reading on Medium »
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 4w ago
6 AI-Driven Predictive Analytics Models to Forecast and Boost Solopreneur Revenue by 30% in the Next 90 Days
Introduction to AI-Driven Predictive Analytics for Solopreneurs As a solopreneur, maximizing revenue while minimizing effort is crucial for success. One effecti
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The Java + Spring Boot Blueprint (Blog 12— Garbage Collection in Java (How JVM Automatically Cleans…
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 4w ago
The Java + Spring Boot Blueprint (Blog 12— Garbage Collection in Java (How JVM Automatically Cleans…
Understand Heap, GC Algorithms, and Memory Management Without Confusion Continue reading on Medium »
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