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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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Feature Drift & Concept Drift — Why Models Rot in Production (Part 3)

Feature Drift & Concept Drift — Why Models Rot in Production (Part 3)

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3 min read
Decoding the Beautiful Game: AI's Play-by-Play Revolution by Arvind Sundararajan

Decoding the Beautiful Game: AI's Play-by-Play Revolution by Arvind Sundararajan

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2 min read
Fran Sans – font inspired by San Francisco light rail displays

Fran Sans – font inspired by San Francisco light rail displays

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4 min read
How I Reached 84.35% on CIFAR-100 Using ResNet-50 (PyTorch Guide)

How I Reached 84.35% on CIFAR-100 Using ResNet-50 (PyTorch Guide)

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2 min read
Global Optimization: Finding the Needle in a Haystack – Faster by Arvind Sundararajan

Global Optimization: Finding the Needle in a Haystack – Faster by Arvind Sundararajan

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2 min read
Show HN: Forty.News – Daily news, but on a 40-year delay

Show HN: Forty.News – Daily news, but on a 40-year delay

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4 min read
Multimodal Diffusion Language Models for Thinking-Aware Editing and Generation

Multimodal Diffusion Language Models for Thinking-Aware Editing and Generation

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4 min read
RAG Will Never Be the Same After Gemini File Search Tool

RAG Will Never Be the Same After Gemini File Search Tool

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8 min read
Designing a Secure, Automated Virtual Datacenter for Multi-Tenant Virtualization

Designing a Secure, Automated Virtual Datacenter for Multi-Tenant Virtualization

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7 min read
AI for Earth: Automating Water Quality Monitoring with Machine Learning

AI for Earth: Automating Water Quality Monitoring with Machine Learning

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3 min read
Cracking the Medical Coding Challenge: Fine-Tuning BioBERT for ICD-10 Classification (Part 1)

Cracking the Medical Coding Challenge: Fine-Tuning BioBERT for ICD-10 Classification (Part 1)

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11 min read
Robot Reflection: Unlocking Ingenious AI with Self-Aware Machines

Robot Reflection: Unlocking Ingenious AI with Self-Aware Machines

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2 min read
Scaling Customer Analytics: Designing ML Pipelines for Millions of Users

Scaling Customer Analytics: Designing ML Pipelines for Millions of Users

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7 min read
From Jupyter Notebook to Production: Deploying a Water Quality ML Model with Docker

From Jupyter Notebook to Production: Deploying a Water Quality ML Model with Docker

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3 min read
From Prototype to Production: How to Engineer Reliable LLM Systems

From Prototype to Production: How to Engineer Reliable LLM Systems

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4 min read
Why TrivialAugment Works (Even When It Shouldn’t)

Why TrivialAugment Works (Even When It Shouldn’t)

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2 min read
Beyond Autopilot: Giving Robots the Gift of Self-Doubt

Beyond Autopilot: Giving Robots the Gift of Self-Doubt

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2 min read
Day 6,7,8 and 9 of becoming a full stack developer

Day 6,7,8 and 9 of becoming a full stack developer

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1 min read
Docker for Beginners: What It Is, Why It Matters, and How to Get Started on Windows

Docker for Beginners: What It Is, Why It Matters, and How to Get Started on Windows

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3 min read
The Evolution of AI: Understanding How We Got Here – And Where We’re Headed

The Evolution of AI: Understanding How We Got Here – And Where We’re Headed

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3 min read
How GPU Power Is Shaping the Next Wave of Generative AI

How GPU Power Is Shaping the Next Wave of Generative AI

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4 min read
Star Multi-Class Classification Neural Network With Pytorch

Star Multi-Class Classification Neural Network With Pytorch

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12 min read
Por que usar Softmax com Categorical Cross-Entropy para o problema da flor íris?

Por que usar Softmax com Categorical Cross-Entropy para o problema da flor íris?

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4 min read
Statistics Day5: The Super-Simple Guide to Random Variables and Correlation for Data Science Beginners

Statistics Day5: The Super-Simple Guide to Random Variables and Correlation for Data Science Beginners

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3 min read
ArchitectGBT - How to Avoid Costly Mistakes When Selecting an LLM

ArchitectGBT - How to Avoid Costly Mistakes When Selecting an LLM

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3 min read
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