Foundations

ML Fundamentals

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

11,981
lessons
Skills in this topic
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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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The Dot Product: How AI Measures Similarity
Dev.to · Akhilesh 📐 ML Fundamentals ⚡ AI Lesson 3w ago
The Dot Product: How AI Measures Similarity
Two users on a music app. User A listens to jazz, blues, and soul. User B listens to jazz, blues,...
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Serving Infrastructure — Deep Dive + Problem: Softmax Function
Dev.to · pixelbank dev 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Serving Infrastructure — Deep Dive + Problem: Softmax Function
A daily deep dive into llm topics, coding problems, and platform features from PixelBank. ...
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Chapter 4: The Bigram Model - Simplest Possible Language Model
Dev.to · Gary Jackson 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Chapter 4: The Bigram Model - Simplest Possible Language Model
Implement a counting-based bigram model to pin down the next-token prediction task and establish a loss baseline before neural networks enter.
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Week 31: Denied access and pilot results
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Week 31: Denied access and pilot results
Good news: This week I finalised my end-to-end pipeline, and it’s running well on the pilot dataset. Continue reading on Retraining Epoch »
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Crossword helper internals: regex vs trie for pattern matching
Dev.to · Dean Gilley 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Crossword helper internals: regex vs trie for pattern matching
Crossword helper internals: regex vs trie for pattern matching If you’ve ever spent a...
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Blog 3: Adaptive Learning Rate Methods (Part 1)
When one learning rate isn't enough — per-parameter scaling and the decay problem Momentum gave the optimizer a memory across time. Adaptive methods give it a m
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
High order unfitted finite element methods on level set domains usingisoparametric mappings
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Auto-Detect Should Not Auto-Apply: Building Reviewable Redaction Overlays
Dev.to · byeval 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Auto-Detect Should Not Auto-Apply: Building Reviewable Redaction Overlays
How to turn automatic detections into tagged, editable overlay objects instead of destructive one-click bitmap edits.
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Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
Medium · AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
The Reality Check Most Developers Miss: Hard Limits, Real Training Speeds, and the Best Setup for Cost-Efficient AI Workflows Continue reading on Medium »
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Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
The Reality Check Most Developers Miss: Hard Limits, Real Training Speeds, and the Best Setup for Cost-Efficient AI Workflows Continue reading on Medium »
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Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
The Reality Check Most Developers Miss: Hard Limits, Real Training Speeds, and the Best Setup for Cost-Efficient AI Workflows Continue reading on Medium »
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Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Laptop vs Workstation for Machine Learning: Which One Actually Trains Models Faster (And Saves You…
The Reality Check Most Developers Miss: Hard Limits, Real Training Speeds, and the Best Setup for Cost-Efficient AI Workflows Continue reading on Medium »
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
10 Best Machine Learning (ML/AI) Tools for Kubernetes Resource Optimization:
Kubernetes is strong yet, if improperly controlled, can be a resource hogging tool. These ten artificial intelligence-driven tools will enable you to automatica
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BranchyNet: Teaching Neural Networks When to Stop Thinking
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
BranchyNet: Teaching Neural Networks When to Stop Thinking
How early exit branches let deep networks trade depth for speed without sacrificing accuracy on easy inputs. Continue reading on Medium »
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BranchyNet: Teaching Neural Networks When to Stop Thinking
Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
BranchyNet: Teaching Neural Networks When to Stop Thinking
How early exit branches let deep networks trade depth for speed without sacrificing accuracy on easy inputs. Continue reading on Medium »
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Stop Treating CNNs Like Magic — Here’s What’s Actually Happening
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Stop Treating CNNs Like Magic — Here’s What’s Actually Happening
A systems-level breakdown of a real CNN pipeline (with metrics, failure modes, and engineering trade-offs) Continue reading on Medium »
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Stop Treating CNNs Like Magic — Here’s What’s Actually Happening
Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Stop Treating CNNs Like Magic — Here’s What’s Actually Happening
A systems-level breakdown of a real CNN pipeline (with metrics, failure modes, and engineering trade-offs) Continue reading on Medium »
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Dev.to AI 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Why Your Diffusion Model Is Slow at Inference (And It's Not the UNet)
TL;DR: Most inference bottlenecks in diffusion pipelines are not in the UNet denoising loop. They are in the VAE decoder, the text encoder on first call, and CP
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Towards Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Lasso Regression: Why the Solution Lives on a Diamond
It’s simpler than you think. The post Lasso Regression: Why the Solution Lives on a Diamond appeared first on Towards Data Science .
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Can You Turn “What I Want to Do” into a Runnable SeaTunnel Config with AI?
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Can You Turn “What I Want to Do” into a Runnable SeaTunnel Config with AI?
Some thoughts around Apache SeaTunnel Discussion #10651: When AI writes configurations, the hard part has never been “writing them,” but… Continue reading on Co
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If You Understand These 5 AI Terms, You’re Ahead of 90% of People
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
If You Understand These 5 AI Terms, You’re Ahead of 90% of People
Most people use AI. Very few understand how it actually works. Continue reading on Medium »
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Why Deleting Tests Can Be Healthy for Your Suite
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Why Deleting Tests Can Be Healthy for Your Suite
I’m going to say something that might make you uncomfortable: you should probably delete about a third of your tests. Continue reading on Medium »
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Overfitting vs Underfitting: A Simple Explanation
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Overfitting vs Underfitting: A Simple Explanation
Why your model might be too clever or not clever enough and what to do about it. Continue reading on Medium »
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SageMaker Pipelines: CI/CD for ML with Terraform 🔁
Dev.to · Suhas Mallesh 📐 ML Fundamentals ⚡ AI Lesson 3w ago
SageMaker Pipelines: CI/CD for ML with Terraform 🔁
Manual model retraining is a reliability risk. SageMaker Pipelines automates the full ML lifecycle -...
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Nobody Taught You Embeddings in CS School.
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Nobody Taught You Embeddings in CS School.
I spent six months building a search feature that my users hated, and the reason was a concept my entire CS degree never mentioned once. Continue reading on Med
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Nobody Taught You Embeddings in CS School.
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Nobody Taught You Embeddings in CS School.
I spent six months building a search feature that my users hated, and the reason was a concept my entire CS degree never mentioned once. Continue reading on Med
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Nobody Taught You Embeddings in CS School.
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Nobody Taught You Embeddings in CS School.
I spent six months building a search feature that my users hated, and the reason was a concept my entire CS degree never mentioned once. Continue reading on Med
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Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 3w ago
I Tried to Learn Programming and AI — This Is What No One Told Me
When I first decided to learn programming, I thought it would be simple. Continue reading on Medium »
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10 Python Tips That Will Instantly Improve Your Code (I Wish I Learned These Sooner)
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
10 Python Tips That Will Instantly Improve Your Code (I Wish I Learned These Sooner)
The small Python habits that quietly separate average developers from the ones who ship clean, scalable code without breaking a sweat. Continue reading on CodeT
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From Spam Filters to Cancer Detection: The Simple Algorithm Behind Yes-or-No Predictions
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
From Spam Filters to Cancer Detection: The Simple Algorithm Behind Yes-or-No Predictions
How logistic regression works, where it’s used every day, and why this idea still powers decisions made by banks, hospitals, and tech… Continue reading on Mediu
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From Spam Filters to Cancer Detection: The Simple Algorithm Behind Yes-or-No Predictions
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
From Spam Filters to Cancer Detection: The Simple Algorithm Behind Yes-or-No Predictions
How logistic regression works, where it’s used every day, and why this idea still powers decisions made by banks, hospitals, and tech… Continue reading on Mediu
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PREDICTING CUSTOMER CHURN USING LOGISTIC REGRESSION IN PYTHON: END-TO-END MACHINE LEARNING PIPELINE
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
PREDICTING CUSTOMER CHURN USING LOGISTIC REGRESSION IN PYTHON: END-TO-END MACHINE LEARNING PIPELINE
Continue reading on Medium »
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PREDICTING CUSTOMER CHURN USING LOGISTIC REGRESSION IN PYTHON: END-TO-END MACHINE LEARNING PIPELINE
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
PREDICTING CUSTOMER CHURN USING LOGISTIC REGRESSION IN PYTHON: END-TO-END MACHINE LEARNING PIPELINE
Continue reading on Medium »
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PREDICTING CUSTOMER CHURN USING LOGISTIC REGRESSION IN PYTHON: END-TO-END MACHINE LEARNING PIPELINE
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
PREDICTING CUSTOMER CHURN USING LOGISTIC REGRESSION IN PYTHON: END-TO-END MACHINE LEARNING PIPELINE
Continue reading on Medium »
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Do You Really Know AI and Its Types? If Not… Read This Before It’s Too Late….
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Do You Really Know AI and Its Types? If Not… Read This Before It’s Too Late….
Let me ask you something honestly. Continue reading on Write A Catalyst »
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Do You Really Know AI and Its Types? If Not… Read This Before It’s Too Late….
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Do You Really Know AI and Its Types? If Not… Read This Before It’s Too Late….
Let me ask you something honestly. Continue reading on Write A Catalyst »
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10 Python Pitfalls
Dev.to · Krun_pro 📐 ML Fundamentals ⚡ AI Lesson 3w ago
10 Python Pitfalls
10 Python Pitfalls That Scream You Are a Junior Developer Python looks easy at first, but when your...
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CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL
From Mall Customer Data to Clustering- Step by Step Continue reading on Medium »
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Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Designing High-Throughput Inference APIs: Latency, Batching, Streaming, and Cost Tradeoffs
Continue reading on AI Mind »
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Medium · Deep Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Designing High-Throughput Inference APIs: Latency, Batching, Streaming, and Cost Tradeoffs
Continue reading on AI Mind »
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Cost-effective multilingual audio transcription at scale with Parakeet-TDT and AWS Batch
AWS Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Cost-effective multilingual audio transcription at scale with Parakeet-TDT and AWS Batch
In this post, we walk through building a scalable, event-driven transcription pipeline that automatically processes audio files uploaded to Amazon Simple Storag
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Market Basket Analysis using Apriori Algorithm
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Market Basket Analysis using Apriori Algorithm
How supermarkets and e-commerce platforms predict what you will buy next Continue reading on Medium »
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Deep Learning Can Forecast Time Series. It Just Often Doesn’t Beat the Boring Stuff.
Medium · Data Science 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Deep Learning Can Forecast Time Series. It Just Often Doesn’t Beat the Boring Stuff.
Why some of the most sophisticated models in the world still lose to “last year, same week.” Continue reading on Medium »
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We Talked About This for Two Years. Now You Can Talk to It
Dev.to · Martina Zrnec 📐 ML Fundamentals ⚡ AI Lesson 3w ago
We Talked About This for Two Years. Now You Can Talk to It
The Kid in the Candy Store Problem It was a notification. Just one. Someone, somewhere,...
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Logistic Regression Explained Clearly: Is It Classification or Regression? (With Intuition)
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
Logistic Regression Explained Clearly: Is It Classification or Regression? (With Intuition)
A beginner-friendly, intuitive explanation of Logistic Regression with real examples and zero confusion Continue reading on Medium »
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K-Means vs. K-Medoids: Which Clustering Algorithm Actually Handles Your Messy Data?
Medium · Machine Learning 📐 ML Fundamentals ⚡ AI Lesson 3w ago
K-Means vs. K-Medoids: Which Clustering Algorithm Actually Handles Your Messy Data?
In the vast landscape of unsupervised machine learning, clustering stands as the primary tool for uncovering hidden structures within… Continue reading on Mediu
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How I Reduced My Code Execution Time by 40% Without Changing Hardware
Medium · Programming 📐 ML Fundamentals ⚡ AI Lesson 3w ago
How I Reduced My Code Execution Time by 40% Without Changing Hardware
Optimization techniques that delivered measurable results Continue reading on CodeToDeploy »
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How I Reduced My Code Execution Time by 40% Without Changing Hardware
Medium · Python 📐 ML Fundamentals ⚡ AI Lesson 3w ago
How I Reduced My Code Execution Time by 40% Without Changing Hardware
Optimization techniques that delivered measurable results Continue reading on CodeToDeploy »
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