Examples of 'machine-learning' in a sentence

Meaning of "machine-learning"

Machine-learning (verb): Machine-learning refers to the process of enabling a computer or machine to learn from data and experiences to improve its performance on a specific task without being explicitly programmed

How to use "machine-learning" in a sentence

Basic
Advanced
machine-learning
Machine-learning to estimate cardiac death risk.
It uses its own machine-learning algorithms.
Machine-learning algorithm predicts hypotension during surgery.
The market for machine-learning applicatio.
Machine-learning output is not always easy to explain.
A decision tree is a predictive machine-learning model.
The machine-learning blast is another issue.
This is handled by a machine-learning process.
Using machine-learning to arrange a bedroom.
From data storage optimization to machine-learning algorithms.
Knowledge in machine-learning is highly appreciated.
The calculation may be performed by a machine-learning method.
Machine-learning algorithms use statistics to find patterns in data.
Is an open source machine-learning server.
Machine-learning systems work by identifying patterns in oceans of data.

See also

From simple visualizations to powerful machine-learning algorithms.
Summary of the machine-learning implementation and analytical procedure.
A key output of this work will be machine-learning algorithms.
Machine-learning system spontaneously reproduces aspects of human neurology.
Expert reaction to using machine-learning to identify suicidal patients.
No machine-learning model has been able to adequately crunch the numbers.
I want more diverse women to become machine-learning researchers.
The machine-learning system can be accessed as a native cloud service.
Unstructured data analytics with machine-learning intelligence allows organizations to,.
Usually machine-learning approaches are applied to construct a classifier based on training data.
But it is possible, through a combination of machine-learning and manual moderation.
The machine-learning problem here is taken a symbol just like this.
Safety never used to be much of a concern with machine-learning systems.
We write rules and use machine-learning to catch suspicious behavior.
Machine-learning may aid in diagnosis and treatment of mental health disorders.
It took a different kind of machine-learning system to make that interpretation.
Machine-learning capabilities allow constituencies to observe user adoption and preferences.
That helps prevent a common machine-learning problem in health care, overfitting.
Machine-learning based portfolio strategy for products with small amounts of data.
It is adaptive and comports a machine-learning algorithm that adapts to new threats.
Some machine-learning comparison tools have been developed to manage controlling parameters.
It is in the top three most popular machine-learning software programs on GitHub.
Classic machine-learning algorithms include things like classification and regression.
Developments in artificial intelligence and machine-learning are at the heart of these technologies.
Huawei 's machine-learning division thought of themselves as artists more than programmers.
She is a computer-animated avatar chatbot with machine-learning artificial intelligence.
Sophisticated machine-learning algorithms change height to catch the right wind.
Our core technology combines magnetic sensors with machine-learning techniques.
Several production machine-learning platforms now offer automatic hyperparameter tuning.
The human condition is the end result of millions of years of machine-learning algorithms.
The primary goal of machine-learning is to make similar predictions to that of humans.
This monitoring might be carried out using tools such as machine-learning algorithms.
Several powerful machine-learning techniques have made machines smarter in recent years.
The models make use of advanced statistical tools and machine-learning techniques.
For now, the machine-learning algorithms are based on data from hospital admissions.

Search by letter in the English dictionary