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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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sam3d Under the Hood: How Meta’s Model Makes Single-Image 3D Reconstruction Accessible to Developers

sam3d Under the Hood: How Meta’s Model Makes Single-Image 3D Reconstruction Accessible to Developers

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3 min read
Erase and Rewind: Surgically Removing Bias from AI Models

Erase and Rewind: Surgically Removing Bias from AI Models

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2 min read
AI Amnesia: Selectively Forgetting with Geometric Unlearning

AI Amnesia: Selectively Forgetting with Geometric Unlearning

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2 min read
The Regression Coefficient Was Positive… Until I Added One Variable and It Flipped Negative

The Regression Coefficient Was Positive… Until I Added One Variable and It Flipped Negative

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3 min read
Why everyone fails at the California Housing dataset the same way(6 brutal reasons)

Why everyone fails at the California Housing dataset the same way(6 brutal reasons)

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2 min read
Occam’s Razor destroyed my polynomial model in 5 minutes

Occam’s Razor destroyed my polynomial model in 5 minutes

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4 min read
Day 13 of improving my Data Science skills

Day 13 of improving my Data Science skills

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2 min read
"Unlock Creativity: The Power of GenerativeAI Unleashed!"

"Unlock Creativity: The Power of GenerativeAI Unleashed!"

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2 min read
How I Built a 140 FPS Real-Time Face Landmark App with Just YOLOv9 + MediaPipe (5-Part Series)

How I Built a 140 FPS Real-Time Face Landmark App with Just YOLOv9 + MediaPipe (5-Part Series)

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2 min read
AI Camouflage: Clothing That Breaks the Algorithm

AI Camouflage: Clothing That Breaks the Algorithm

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2 min read
ESP32-S3 + TensorFlow Lite Micro: A Practical Guide to Local Wake Word & Edge AI Inference

ESP32-S3 + TensorFlow Lite Micro: A Practical Guide to Local Wake Word & Edge AI Inference

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2 min read
AI vs ML vs LLMs - Why We Keep Mixing Them Up (And How to Finally Understand Them)

AI vs ML vs LLMs - Why We Keep Mixing Them Up (And How to Finally Understand Them)

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2 min read
Automating the Unstructured: A Developer’s Guide to NLP Automation

Automating the Unstructured: A Developer’s Guide to NLP Automation

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2 min read
Quantum Leap for Vision: Masked Autoencoders Decode the Invisible by Arvind Sundararajan

Quantum Leap for Vision: Masked Autoencoders Decode the Invisible by Arvind Sundararajan

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2 min read
Nanophotonic AI: From Lab to Lightsaber (Maybe!)

Nanophotonic AI: From Lab to Lightsaber (Maybe!)

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2 min read
Training a model to predict a persuasion score for documents, but hitting a wall

Training a model to predict a persuasion score for documents, but hitting a wall

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1 min read
AI for Exploratory Data Analysis (EDA)

AI for Exploratory Data Analysis (EDA)

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3 min read
Introducing PQNT — A New Power-Law Quantization Method

Introducing PQNT — A New Power-Law Quantization Method

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1 min read
Erase Faces, Not Utility: Instant Privacy for Image AI by Arvind Sundararajan

Erase Faces, Not Utility: Instant Privacy for Image AI by Arvind Sundararajan

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2 min read
What I Learned From Reviewing a Complete Diabetes Prediction Machine Learning Project

What I Learned From Reviewing a Complete Diabetes Prediction Machine Learning Project

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3 min read
BATCHNORM IN LANGUAGE MODELS

BATCHNORM IN LANGUAGE MODELS

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16 min read
Unlocking Soccer Secrets: AI-Powered Play Analysis from Broadcast Footage by Arvind Sundararajan

Unlocking Soccer Secrets: AI-Powered Play Analysis from Broadcast Footage by Arvind Sundararajan

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2 min read
Installing CVAT on Fedora - Quick Guide

Installing CVAT on Fedora - Quick Guide

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2 min read
Tokenization in NLP: The Foundational Step That Turns Language Into Data

Tokenization in NLP: The Foundational Step That Turns Language Into Data

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3 min read
Unveiling the Power of Cross-Validation in Machine Learning

Unveiling the Power of Cross-Validation in Machine Learning

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2 min read
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