In recent years, the transformer model has become one of the main highlights of advances in deep learning and deep neural networks. It is mainly used for advanced applications in natural language ...

While building machine learning models is fundamental to today’s narrow applications of AI, ... The main advantages of cloud-based machine learning model development include: ...

Poor quality, unusable data is a burden for those at the end of the data’s journey. These are the data users who use it to build models and contribute to other profit-generating activities.

Data poisoning or model poisoning attacks involve polluting a machine learning model’s training data. ... The main problem with data poisoning is that it’s not easy to fix.

In the book "Interpretable Machine Learning: A Guide for Making Black Box Models Explainable" he elaborates on the issue and examines methods for achieving explainability ...

Called tiny machine learning, or TinyML, these models are suited for devices that have limited ... The main idea behind MCUNetV2 is “patch-based inference,” a technique that reduces the memory ...