Examples of using Learning algorithms in English and their translations into Korean
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Programming
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Computer
Machine learning algorithms.
There are lots of other types of machine learning algorithms.
Machine learning algorithms.
Build or use datamining and machine learning algorithms.
Supported Deep Learning algorithms will be added at all times.
People also translate
Q-learning is one of the easiest Reinforcement Learning algorithms.
Mastering Machine Learning Algorithms by Giuseppe Bonaccorso.
And supports a very wide array of important machine learning algorithms.
Develop learning algorithms to address each of two problems.
In other words, we will chain together several machine learning algorithms.
Deep learning algorithms are designed to learn quickly.
To help imitate this process, machine learning algorithms use neural networks.
Machine learning algorithms are often used in enterprise systems.
Montreal Institute for Learning Algorithms(MILA).
Machine learning algorithms can be supervised or unsupervised.
Practical Bayesian Optimization of Machine Learning Algorithms.
Machine Learning Algorithms(Paperback).
David MacKay, Information Theory, Inference, and Learning Algorithms.
That said, the machine learning algorithms themselves are only half the equation.
We're also working on an automated predictive maintenance systems based on deep learning algorithms.".
Machine Learning algorithms can either be supervised or unsupervised.
Fraud detection is a complex issue that requires a substantial amount of planning before throwing machine learning algorithms at it.
Also, these machine learning algorithms organize the data into a group of clusters.
These types of intelligent functions require a seriesof front-end surveillance cameras, back-end servers and other products which support deep learning algorithms.
Deep learning algorithms inherently do a large amount of matrix multiplication operations.
Build behavioral models using numerous data sets and machine learning algorithms, and predict the future with this model and newly entered data.
The researchers decoded neural activity by training a small artificial network called the“Linear Support Vector Machine” using machine learning algorithms.
Using machine learning algorithms to sift through the dataset, the UCL team has started to look for patterns.
At the Lab, a team if engineers, creative coders andartists have been experimenting with virtual reality, or with combining art and machine learning algorithms to create new ways to explore culture.
It uses machine learning algorithms to calculate the quality, ability and value of more than 90,000 players.