Sentence examples for a machine learning problem from inspiring English sources
The task of figuring out where a robot is in the world is very much a machine learning problem.
For one thing, due to the time it takes to understand, formulate, and process data for a machine learning problem, machine learning experts often instead focus on the later parts of the pipeline trying different models, or tuning the hyperparameters of the model once a problem is formulated, rather than formulating newer predictive questions for different business problems.
Human activity recognition can be seen as a machine learning problem.
These approaches transform the target fishing problem to a machine learning problem in the ligand target space.
The solution is demonstrated on a machine learning problem for modelling a large set of biochemical interactions using a shared computer cluster.
Moussa and Youssef[8, 9] modeled the DFL as a machine learning problem and adopted fingerprint-matching method to solve the problem.
The first crucial step in improving efficiency through robotics and AI is identifying a business problem and converting it to a machine-learning problem, but few Indian companies have risen to that challenge.
"We have the startups draft a project proposal that addresses a sizable machine learning problem they're approaching in the next 6 months.
Hence, while author identification can be seen as a supervised machine learning problem, alias matching is an unsupervised problem where the same supervised algorithms cannot be used.
In a supervised machine learning problem the user has to provide as input a reference library containing specimens with a priori known species membership.
The DNA Barcode classification problem may be approached as a supervised machine learning problem in the following way [ 7]: given a reference library composed of DNA Barcode specimen sequences of known species and a collection of unknown DNA Barcode sequences (query set), recognize the latter into the species that are present in the library.
