Examples of 'machine learning' in a sentence
Meaning of "machine learning"
Machine learning is a field of artificial intelligence that focuses on the development of algorithms and models that allow computer systems to learn and make predictions or decisions without explicit programming. It involves training machines on large amounts of data to recognize patterns and make intelligent inferences
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- The ability of computers to learn without being explicitly programmed.
- A field of study concerned with the design and development of algorithms and techniques that allow computers to learn.
How to use "machine learning" in a sentence
Basic
Advanced
machine learning
Machine learning is possible using different strategies.
Valiant essentially redefines machine learning as evolutionary.
Use of machine learning to improve odour forecast.
Welcome to the first class on machine learning.
Machine learning poses a host of ethical questions.
So we started doing machine learning research to improve that.
Machine learning is a system designed to solve a problem.
And this idea of machine learning is going everywhere.
Machine learning will have a democratizing influence.
An elementary example of machine learning is image recognition.
And machine learning needs a ton of data.
But we actually ran machine learning on youtube.
Let machine learning discover new rules.
Device location based on machine learning classifications.
Machine learning will aid knowledge workers.
See also
Create your first machine learning application.
Machine learning approach could accelerate bioengineering.
A combination of machine learning and human expertise.
Machine learning is also called statistical learning.
Here are some other examples of machine learning.
Shifting to machine learning and impact investing.
Statistical classification is a problem studied in machine learning.
Supervised machine learning requires labeled data.
Carbonell is one of the gurus of machine learning.
Machine learning as a basis for reliable predictions.
Probabilistic reasoning is a foundational technology of machine learning.
Machine learning for predictive maintenance of infrastructure.
This usage is particularly common in machine learning.
Machine learning is coming into its own.
Classifying data is a common task in machine learning.
Machine learning exists all around us today.
Detecting handwriting forgery using machine learning.
Machine learning is a part of artificial intelligence research.
Both are essential for modern machine learning.
Machine learning will change every industry.
Frame business problems as machine learning problems.
Utilizing machine learning in purchase invoice posting.
Big data can assist in machine learning.
Embedded machine learning is a severely understudied topic.
Linear regression is an example of parametric machine learning.
Using machine learning in user complaint handling.
Most of these tools are based on machine learning.
Machine learning applications for censored data.
We use artificial intelligence and machine learning.
Role of machine learning on a modern analytic landscape.
Innovative technology combined with machine learning.
Machine learning will be as same as human intelligence.
Why SMEs should invest in machine learning.
Consider machine learning models and employees.
Improve those predictions via machine learning.
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Examples of using Machine
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Electric machine model parameters and interface
The virus is effectively a machine run by a computer
The machine is sold without water softener
