Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

19,885
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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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Python for Data Science — Sampling and Why Your Conclusions Can Be Wrong
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 32m ago
Python for Data Science — Sampling and Why Your Conclusions Can Be Wrong
In the previous article, we discussed probability distributions and how they help us understand the behavior of data. Continue reading on Medium »
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From a Student Project to an ICML Spotlight
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 2h ago
From a Student Project to an ICML Spotlight
Hi! I’m Fedor Velikonivtsev, a Senior Researcher at Yandex Research, where I lead a team focused on efficient GPU computing. Continue reading on Yandex »
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AI Training Data Services: The Complete Enterprise Guide to Building Accurate AI Models (2026)
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4h ago
AI Training Data Services: The Complete Enterprise Guide to Building Accurate AI Models (2026)
A practical guide for CTOs, AI product leaders, machine learning engineers, data scientists, and enterprise AI teams evaluating… Continue reading on Medium »
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Machine Learning Concepts Explained #4: Features and Labels
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4h ago
Machine Learning Concepts Explained #4: Features and Labels
Learn what features and labels are, how they differ, and why they are essential for training supervised machine learning models. Continue reading on Medium »
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Machine Learning Concepts Explained #4: Features and Labels
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 4h ago
Machine Learning Concepts Explained #4: Features and Labels
Learn what features and labels are, how they differ, and why they are essential for training supervised machine learning models. Continue reading on Medium »
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From Satellite Images to Smarter Air Quality Predictions: The Story Behind AIRSENSE
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 4h ago
From Satellite Images to Smarter Air Quality Predictions: The Story Behind AIRSENSE
How we combined satellite imagery, meteorological data, and ground observations to estimate air quality across Mumbai Continue reading on Medium »
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Bir AI Engineer Mülakatına Girmeden Önce Bilmeniz Gereken 5 Temel Konu
Medium · RAG 📐 ML Fundamentals ⚡ AI Lesson 8h ago
Bir AI Engineer Mülakatına Girmeden Önce Bilmeniz Gereken 5 Temel Konu
Mülakatlarda sizden beklenen temel AI kavramları Continue reading on Medium »
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How to Learn Anything on Your Own: The Ultimate Self-Study Blueprint
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 10h ago
How to Learn Anything on Your Own: The Ultimate Self-Study Blueprint
Every skill you admire in someone else was learned at some point . nothing comes naturally. Schools give you a fixed curriculum and… Continue reading on Medium
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From Pandas to PyTorch: The Python Libraries That Made Me Better at AI
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 10h ago
From Pandas to PyTorch: The Python Libraries That Made Me Better at AI
The biggest improvements in my AI skills didn’t come from learning more algorithms, they came from mastering the right Python libraries. Continue reading on Sta
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From Pandas to PyTorch: The Python Libraries That Made Me Better at AI
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 10h ago
From Pandas to PyTorch: The Python Libraries That Made Me Better at AI
The biggest improvements in my AI skills didn’t come from learning more algorithms, they came from mastering the right Python libraries. Continue reading on Sta
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LeetCode no 1. Two Sum: The Problem That Starts Every DSA Journey
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 12h ago
LeetCode no 1. Two Sum: The Problem That Starts Every DSA Journey
If you’ve heard of LeetCode before, there’s a 110% chance you know this problem, it’s the very first one. My DSA journey started here too… Continue reading on M
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Part-05 Performance Tuning & Optimization: The Production Secret Sauce
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 15h ago
Part-05 Performance Tuning & Optimization: The Production Secret Sauce
Why your Spark jobs are slow — and how to make them fly. Continue reading on Medium »
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 15h ago
AI Bisa Membantu Forecasting Penjualan, Ini Cara Menggunakannya
Kesalahan dalam memprediksi penjualan dapat berdampak besar bagi bisnis, mulai dari kelebihan stok hingga kehilangan peluang penjualan. Continue reading on Medi
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The Hidden Geometry Of Space
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 15h ago
The Hidden Geometry Of Space
How Manifolds Reveal The Shape Of Curved Worlds, Moving Systems, And Modern Data Continue reading on Medium »
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 16h ago
Building a Public Financial ML Lab Without Exposing a Trading Strategy
How I separate production ML engineering proof from private trading logic. Continue reading on Medium »
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Medium · LLM 📐 ML Fundamentals ⚡ AI Lesson 16h ago
Solving Hard Problems at the Research–Engineering Boundary: Methodology for Frontier Machine…
The hardest problems in frontier ML are not intellectual puzzles solvable at a whiteboard but empirical, systems-level problems whose… Continue reading on Mediu
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Medium · LLM 📐 ML Fundamentals ⚡ AI Lesson 16h ago
how to solve hard technical problems at the boundary between research and engineering?
scaling experiments, improving training reliability, debugging distributed systems, reducing latency and cost, and making new capabilities… Continue reading on
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Moving to Airflow 3 on MWAA: Three Problems We Hit and How We Fixed Them
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 16h ago
Moving to Airflow 3 on MWAA: Three Problems We Hit and How We Fixed Them
Recently, our team moved to Apache Airflow 3 on Amazon MWAA to take advantage of its improved security posture and newer runtime support… Continue reading on Me
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A Million-Token Window Isn’t a Million Tokens of Memory
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 17h ago
A Million-Token Window Isn’t a Million Tokens of Memory
Context windows now run to millions of tokens, yet reliability decays as the window fills, so inside a single run, the capacity you paid… Continue reading on St
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I Thought I Was Learning. Turns Out, I Was Just Compressing PDFs Into My Brain.
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 19h ago
I Thought I Was Learning. Turns Out, I Was Just Compressing PDFs Into My Brain.
A few days ago, I stumbled upon a quote by Richard Feynman. Continue reading on Medium »
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Reddit r/deeplearning 📐 ML Fundamentals ⚡ AI Lesson 20h ago
Deep Dive: Why Post-LayerNorm Crashes Big Models (And the Bare-Metal Math of Pre-LN Identity Highways)
submitted by /u/Secret-Number7350 [link] [comments]
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 22h ago
We Gave Our Engineering Team a Memory — Here’s How PRECOG Uses Cognee
Building Predictive Engineering Intelligence for the Cognee X We Make Dev Hackathon 2026 Continue reading on Medium »
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CLM Series/Chapter-9: Carrying Uncertainty — What the Machine Cannot Do
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1d ago
CLM Series/Chapter-9: Carrying Uncertainty — What the Machine Cannot Do
CLM Series — Chapter 9 / 50 Continue reading on Medium »
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Day 28 Part 3: predict_batch() Done, DB Indexes In, Cache Fixed — Numbers Are Moving
The three highest-impact optimizations are implemented and measured: predict_batch() with feature vector reuse collapsed… Continue reading on Medium »
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Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Day 28 Part 3: predict_batch() Done, DB Indexes In, Cache Fixed — Numbers Are Moving
The three highest-impact optimizations are implemented and measured: predict_batch() with feature vector reuse collapsed… Continue reading on Medium »
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Math Homework: Step-by-Step Solver & Scanner
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Math Homework: Step-by-Step Solver & Scanner
AI Homework Assistant Core Features Continue reading on Medium »
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The One Picture That Finally Makes
Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
The One Picture That Finally Makes
Eigenvectors Click Continue reading on Medium »
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10 Python Libraries That Make You Dangerous as a Solo Developer
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1d ago
10 Python Libraries That Make You Dangerous as a Solo Developer
The fewer people on your team, the more these libraries start to feel like unfair advantages. Continue reading on Stackademic »
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Tool-Calling SLMs in 2026: Why a Tiny Fine-Tuned Model Beat a 175B Baseline by 51 Points
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Tool-Calling SLMs in 2026: Why a Tiny Fine-Tuned Model Beat a 175B Baseline by 51 Points
A 350M-parameter model scored 77.55% on ToolBench and left a 175B baseline at 26%. Here is what that result really shows, and how to build… Continue reading on
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Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1d ago
CCTV Action Recognition: Comprehensive Fine-Tuning & Real-Time Deployment Guide
This playbook serves as a comprehensive reference guide for training, fine-tuning, and deploying a hybrid Deep Learning model (MobileNetV2… Continue reading on
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Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1d ago
KL divergence is in your VAE.
Every Loss Function You Have Ever Used Has This Equation Inside It. Nobody Showed You the Arithmetic. Continue reading on Medium »
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The 95.6% Accurate Tree Algorithm Quietly Keeping Planes From Colliding
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1d ago
The 95.6% Accurate Tree Algorithm Quietly Keeping Planes From Colliding
Hi everyone, I am Trends 24/7 and in this blog I want to break down something most flyers never think about: the plain old tree data… Continue reading on Medium
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Python History Recap
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Python History Recap
Python is one of the clearest examples of a programming language that became powerful by trying to stay readable. Continue reading on Medium »
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Design for the Failure, Not the Demo
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Design for the Failure, Not the Demo
A layer-by-layer guide to building production healthcare AI from problem framing and HIPAA-compliant data pipelines to guardrails… Continue reading on Medium »
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Predicting Global Air Quality with 99.93%
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Predicting Global Air Quality with 99.93%
A data science deep-dive into 23,463 cities, one Random Forest model, and the pollutant that explains almost everything Continue reading on Medium »
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Predicting Global Air Quality with 99.93%
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Predicting Global Air Quality with 99.93%
A data science deep-dive into 23,463 cities, one Random Forest model, and the pollutant that explains almost everything Continue reading on Medium »
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Never Quantum at All
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Never Quantum at All
A student dequantized a famous quantum algorithm. A single matrix-free dial tells you which speedups survive — and which were never… Continue reading on Medium
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From Churn Model to AI Assistant: How I Built an End-to-End Data Science Product
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
From Churn Model to AI Assistant: How I Built an End-to-End Data Science Product
By Deepti Dhanapala | Data Scientist | MPS Data Science, University at Buffalo Continue reading on Medium »
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From Churn Model to AI Assistant: How I Built an End-to-End Data Science Product
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1d ago
From Churn Model to AI Assistant: How I Built an End-to-End Data Science Product
By Deepti Dhanapala | Data Scientist | MPS Data Science, University at Buffalo Continue reading on Medium »
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QuTiP 2— Rabi Oscillations in Python with QuTiP
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 1d ago
QuTiP 2— Rabi Oscillations in Python with QuTiP
Simulating coherent quantum control in a two-level system Continue reading on Medium »
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QuTiP 2— Rabi Oscillations in Python with QuTiP
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1d ago
QuTiP 2— Rabi Oscillations in Python with QuTiP
Simulating coherent quantum control in a two-level system Continue reading on Medium »
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Is This Market Lying to Me? Part 1: The Problem and the Pipeline
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Is This Market Lying to Me? Part 1: The Problem and the Pipeline
This is the first in a six-part series on building a real-time surveillance pipeline for prediction markets. Part 1 lays out the problem… Continue reading on De
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LeetCode Solution #1 — Two Sum
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 1d ago
LeetCode Solution #1 — Two Sum
LeetCode Problem #1, Two Sum, is one of the most popular interview questions. Although the problem looks simple, it tests whether you can… Continue reading on M
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7 AI Projects You Can Build Over a Weekend (That Actually Teach You Something)
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
7 AI Projects You Can Build Over a Weekend (That Actually Teach You Something)
Everyone is building AI apps. The difference is that real learners don’t just use AI for asking questions, they understand how to… Continue reading on Medium »
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Building TrialMatch AI: Transforming Clinical Trial Eligibility into Transparent, Auditable…
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 1d ago
Building TrialMatch AI: Transforming Clinical Trial Eligibility into Transparent, Auditable…
By: Alireza Minagar, MD, MBA, MS, Software Engineer Continue reading on Medium »
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I Built a Machine Learning Model to Predict the World Cup 2026 Knockout Stages.
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 2d ago
I Built a Machine Learning Model to Predict the World Cup 2026 Knockout Stages.
Posted before a single knockout match was played. Continue reading on Medium »
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I Built a Machine Learning Model to Predict the World Cup 2026 Knockout Stages.
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 2d ago
I Built a Machine Learning Model to Predict the World Cup 2026 Knockout Stages.
Posted before a single knockout match was played. Continue reading on Medium »
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What is multicollinearity?
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 2d ago
What is multicollinearity?
Multicollinearity occurs when two or more independent variables are highly correlated with each other. Continue reading on Medium »
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