(An English-language version of this post can be read here.) Nota del editor: Este es el cuarto post de Explicando Palantir, una serie que explora una selección de temas, incluyendo nuestro enfoque hacia la privacidad, la protección, y la seguridad de la IA/ML, entre otros. Las entradas anteriores exploran nuestro modelo de negocio, los controles de …
Read more “Confianza en los Datos (Explicando Palantir, #4)”
Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best possible desired outcome with a validation dataset. Single objective optimization with a performance metric is the most common approach for tuning ML models. However, in addition to predictive performance, there may …
Communication Service providers (CSPs) are facing a new dynamic where they have a digitally savvy customer base and market competition is higher than ever before. Understanding customers and being able to present them with relevant products and services in a contextual manner has become the focus of CSPs. Digitization and hyper-personalization will be powering the …
The actor and new parent talks about her TV network, giving Black creators opportunities, and a group text her sisters and friend didn’t add her to.
Prophesee has partnered with Qualcomm to bring a new kind of fast image sensor to smartphone cameras.Read More
A tiny robot that could one day help doctors perform surgery was inspired by the incredible gripping ability of geckos and the efficient locomotion of inchworms.
You can learn a lot about neural networks and deep learning models by observing their performance over time during training. For example, if you see the training accuracy went worse with training epochs, you know you have issue with the optimization. Probably your learning rate is too fast. In this post, you will discover how …
Read more “Understand Model Behavior During Training by Visualizing Metrics”
How federated learning at the edge can improve latency, reduce network calls, drive efficiency, improve model accuracy and promote privacy.Read More
These nontoxic beds are easier on the environment and your health—and they’re also incredibly comfortable.
AGI and mathematics-derived ML will eventually support accurate investment advice. Until then, let’s stick with what ChatGPT is good at.Read More