A retrospective on forming a research team in 2022 to apply machine learning to challenges in health and social sciences, including data management and validation.
Explores practical mechanisms like pilot/copilot roles and literature reviews to improve the success rate of machine learning projects.
A guide to training XGBoost models on cloud GPUs using the Lightning AI framework, bypassing complex infrastructure setup.
Learn how to train an XGBoost classifier using cloud GPUs without managing infrastructure via the Lightning AI framework.
Analyzes common pitfalls in AI adoption, arguing that technical and product maturity models can hinder practical implementation.
A curated list of the top 10 open-source machine learning and AI projects released or updated in 2022, including PyTorch 2.0 and scikit-learn 1.2.
A curated list of the top 10 open-source releases in Machine Learning & AI for 2022, including PyTorch 2.0 and scikit-learn 1.2.
A review of the top 10 most influential machine learning papers from 2022, including ConvNeXt and MaxViT, with technical analysis.
A review of the top 10 influential machine learning research papers from 2022, including ConvNeXt and MaxViT, highlighting key advancements in AI.
Author announces closing his data science training company after seven years and shares his new role as a Senior Machine Learning Engineer.
A data scientist reviews his 2022 goals, including technical writing on ML topics and career progression, and sets new goals for 2023.
An update on how Monzo integrated machine learning across its organization in 2022, covering team structure, growth, and new initiatives.
Explains numerical instability in naive softmax and cross-entropy implementations and provides stable alternatives for deep learning.
Learn how to deploy multiple ML models on a single GPU using Hugging Face Inference Endpoints for scalable, cost-effective inference.
A tutorial on deploying a Hugging Face Gradio machine learning app for sentiment analysis to AWS Lambda using a serverless architecture.
A technical guide on deploying the Stable Diffusion text-to-image model to Amazon SageMaker for real-time inference using the Hugging Face Diffusers library.
Explains how to transfer a machine learning model via Bluetooth from a browser to an Arduino, detailing BLE services and characteristics.
A technical explanation of the attention mechanism in transformers, building intuition from key-value lookups to the scaled dot product equation.
Learn how SetFit, a new approach from Intel Labs and Hugging Face, outperforms GPT-3 for text classification with minimal labeled data.
Author announces a new monthly AI newsletter, 'Ahead Of AI,' and shares updates on a passion project and conference appearances.
