Examples of using Machine learning in English and their translations into Turkish
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Bing Predicts is a prediction engine developed by Microsoft that uses machine learning from data on trending social media topics(and sentiment towards those topics), along with trending searches on Bing.
I decided to task Son of Anton Based on the amount of work left to do to use machine learning to debug some of our code. and the number of hours left before the festival.
the number of hours left before the festival, to use machine learning to debug some of our code.
Gordon Plotkin and Ehud Shapiro laid the initial theoretical foundation for inductive machine learning in a logical setting.
And to do that, I'm going to tell you about a framework which is very popular in statistics and machine learning of the last 50 years called Bayesian decision theory.
Machine learning addresses the problem of how to find those networks or other models based on data.
The Cambridge lab conducts basic computer science research on a wide variety of topics, including machine learning, security and information retrieval, and maintains close ties to the University of Cambridge and the University of Cambridge Computer Laboratory.
Machine learning is an important subfeed of artificial intelligence, it's my personal favorite next to robotics because
artificial intelligence, machine learning, systems and networking,
behavioral social sciences, computational economics and prediction markets, machine learning, and information retrieval.
process based on system dynamics and can be automated through a decision modeling tool, integrating big data, machine learning, and expert knowledge as appropriate.
To use machine learning to debug some of our code.
And the number of hours left before the festival, I decided to task Son of Anton to use machine learning to debug some of our code.
based on the infrastructure by using optimization, machine learning, and game theory.
The company said in a statement on its website it will start using updated machine learning to detect possible hoaxes and send them to fact checkers, potentially showing fact-checking results under the original article.
The proposal applies machine learning for anomaly detection, providing energy-efficiency to a Decision Tree, Naive-Bayes, and k-Nearest Neighbors classifiers implementation in an Atom CPU and its hardware-friendly implementation in a FPGA.
for prediction, for machine learning, and fields like finance,
If the modeling is done by an artificial neural network or other machine learning, the optimization of parameters is called training, while the optimization of model
e.g. machine learning algorithms from Weka, the statistics package R project,
what they did then is used advanced artificial intelligence techniques called machine learning to have a training phase, and so they got most likely grad students