Examples of using Learning algorithms in English and their translations into Hebrew
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The companies that run campaigns on social networks are at the intersection where machine learning algorithms and advertising technologies meet.
For the first time, machine learning algorithms(especially those based on a method called backpropagation)
Arterys Cardio DL ran supervised learning algorithms and came up with around 10 million rules based on connections it found within the data.
Active learning algorithms access the desired outputs(training labels)
Here in Silicon Valley where I live, when I go visit different companies even at the top Silicon Valley companies very often I see people are trying to apply machine learning algorithms to some problem and sometimes they have been going at it for six months.
digital processing, learning algorithms and more.
a Baltimore startup company that is using deep learning algorithms to recognize the signals in his upper arm that correspond with various hand movements.
demonstrating that AI and machine learning algorithms helped predict instances of schizophrenia with 74% accuracy.
demonstrating that AI and machine learning algorithms helped to predict instances of schizophrenia with 74% accuracy.
Using a series of deep learning algorithms of Convolutional Neural Networks(CNN),
The information we use to improve our machine learning algorithms and technology is always used in an aggregated and anonymized way, and can never be traced back to you.
Combining machine learning algorithms with the computational power of the Intel Xeon Scalable processor enables developers to create intelligent
Reinforcement learning algorithms are given feedback in the form of positive
this is made possible by machine learning algorithms.
Later but the two most used types of learning algorithms are probably supervised learning and unsupervised learning and I will define them in the next two videos and we will spend most of this class talking about these two types of.
In developmental robotics, robot learning algorithms generate their own sequences of learning experiences,
Machine learning algorithms build a mathematical model based on sample data,
The machine learning algorithms that Rolls-Royce will initially put to work on their ships will be the same neural-net based software which currently fuels Google's voice and image search applications.
In practice, machine learning algorithms cope with that either by employing a convex approximation to the 0-1 loss function(like hinge loss for SVM), which is easier to optimize, or by imposing assumptions on the distribution P( x, y){\displaystyle P(x, y)}(and thus stop being agnostic learning algorithms to which the above result applies).
In addition, IMedis has developed Recurrent Neural Networks(RNN) deep learning algorithms for text analysis, with which the system is able to