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 the launch of 'Ahead of AI', a monthly newsletter covering AI trends, educational content, and personal updates on machine learning projects.
Author announces a new monthly AI newsletter, 'Ahead Of AI,' and shares updates on a passion project and conference appearances.
A theoretical introduction to Linear Regression models, explaining their use for predicting continuous variables and importance in interpretable fields like lending.
A guide on tailoring your resume for different machine learning roles like Data Scientist and ML Engineer, using a 3-step process.
A tutorial on building a gesture-based payment system prototype using Arduino, TensorFlow.js, and JavaScript for secure transaction confirmation.
A tutorial on creating custom inference handlers for Hugging Face Inference Endpoints to add business logic and dependencies.
Explores why data and ML pipeline tests break incorrectly and offers strategies for writing more robust unit, schema, and integration tests.
A technical blog post discussing penalized complexity priors in Bayesian statistics, focusing on how to set priors that appropriately penalize model complexity.
Explores why complex ideas and systems are often favored over simpler ones in tech and academia, and argues for the advantages of simplicity.
Explains how to integrate Dask with Kubeflow to accelerate data preparation and ETL tasks in machine learning pipelines using distributed computing.
A curated list and summary of recent research papers exploring deep learning methods specifically designed for tabular data.
A curated list and summary of recent research papers exploring deep learning methods specifically designed for tabular data.
