Machine learning combines techniques from statistics and artificial intelligence to create
algorithms that can learn from empirical data and generalize to solve problems in various …

A first data set corresponding to an evaluation run of a model is generated at a machine
learning service for display via an interactive interface. The data set includes a prediction …

An indication of a data source to be used to train a linear prediction model is obtained. The
model is to generate predictions using respective parameters assigned to a plurality of …

Methods and apparatus organize a plurality of haptic output variations into a cohesive
semantic framework that uses various information about the alert condition and trigger …

An electronic device with a touch-sensitive surface, a display, and one or more tactile output
generators for generating tactile outputs displays a user interface that includes a first item …

A record extraction request for a data set is received at a machine learning service. A plan to
perform one or more chunk-level operations (such as sampling, shuffling, splitting or …

During a training phase of a machine learning model, representations of at least some
nodes of a decision tree are generated and stored on persistent storage in depth-first order …

US10175762B2 - Devices, methods, and graphical user interfaces for generating tactile outputs -
Google Patents US10175762B2 - Devices, methods, and graphical user interfaces for generating …

An electronic device detecting an alert event; and, in response, delays provision of feedback
indicative of the alert event until determining whether the electronic device is in a first use …

Variables of observation records to be used to generate a machine learning model are
identified as candidates for quantile binning transformations. In accordance with a particular …