ARTICLES

The Future of Embeddings for Computer Vision Data Curation

The Future of Embeddings for Computer Vision Data Curation

The concept of embedding in machine learning can be traced back to the early 2000s, with the development of techniques such as Principal Component Analysis (PCA) and Multidimensional Scaling (MDS). These methods focused on finding low-dimensional representations of...

How To Fine-Tune Hugging Face Transformers on a Custom Dataset

How To Fine-Tune Hugging Face Transformers on a Custom Dataset

In this article, we will take a look at some of the Hugging Face Transformers library features, in order to fine-tune our model on a custom dataset. The Hugging Face library provides easy-to-use APIs to download, train, and infer state-of-the-art pre-trained models...

AI Quality Management: Key Processes and Tools, Part 1

AI Quality Management: Key Processes and Tools, Part 1

Achieving high AI Quality requires the right combination of people, processes, and tools. In the post, “What is AI Quality?” we defined what AI Quality is and how it is key to solving critical challenges facing AI today. That is, AI Quality is the set...

Feature Engineering for Fraud Detection

Feature Engineering for Fraud Detection

Introduction Fraud detection is critical in keeping remediating fraud and services safe and functional. First and foremost, it helps to protect businesses and individuals from financial loss. By identifying potential instances of fraud, companies can take steps to...

Machine Learning at the Edge: Elements Needed for Scale

Machine Learning at the Edge: Elements Needed for Scale

Learn about the elements you need to build an efficient, scalable edge ML architecture. There are four components that can help bring order to the chaos that is running ML at the edge and allow you to build an efficient, scalable edge ML architecture: Central...

When Machine Learning meets privacy

When Machine Learning meets privacy

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations. This posted has been republished by AIIA. To listen to the original podcast, please click HERE....

Centaur at Work: Writing a Newsletter

Centaur at Work: Writing a Newsletter

A Story of Many Failures and One Success In this blog, join me as I embark on the complex journey of semi-automating an AI-focused weekly newsletter. You'll get a first-hand look at a diverse set of tools and tactics that I've put to work on this real-life puzzle....

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