However, many toolkits are focused on a narrow aspect of machine learning model development, such as building deep learning neural networks, or specific kinds of supervised learning models.

I like to divide my machine learning education into two eras ... I’m always delighted when I discover a tool that makes model-building fun, intuitive, and friction-less. That couldn’t be ...

New models, however, are developed all the time since each new learning is encoded in a model, which can happen an infinite amount of times. In addition to the above challenges, building machine ...

Machine Learning (ML ... his ability to build scalable AI/ML systems for diverse industries. At Affirm, he contributed to production-scale systems while advancing model interpretability.

While most focus on issues of model building and infrastructure scaling, Vollet also looks at the user view, or frameworks for building user interfaces for applications utilizing machine learning.

If your machine learning model works with transactions, the average value of transactions in restaurants over the last three months would be that kind of feature. If you’re building a ...