Examples of using Machine learning algorithm in English and their translations into Portuguese
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As there is a machine learning algorithm in this-- Applause.
Such issue can even cause harmful effects to the final results of the process,since directly affects the data quality of a database which some machine learning algorithm may be applied to.
Machine learning algorithms for data mining tasks.
Weka is a collection of machine learning algorithms for data mining tasks.
Machine learning algorithms are widely employed to induce models for knowledge discovery in databases.
The issue that emerges is how to support more use of machine learning algorithms and knowledge in the neurosciences.
Using machine learning algorithms in order to build computer vision applications.
Aura is proactive andapplies cognitive capabilities with machine learning algorithms to provide contextual insights and customized recommendations.
Machine learning algorithms and stochastic algorithms are applied to organize the grid resources during the process of task scheduling.
ATR investigates the attack surfaces in autonomous vehicles as well as the machine learning algorithms and physical-to-digital attacks related to them.
Comparison of machine learning algorithms performance in predictive analyzes in public… Epidemiology.
This layered cortical organization inspired recently the creation of new machine learning algorithms, collectively designated as deep learning. .
Our platform uses machine learning algorithms to minimize the cost-per-install for your campaigns. Paid campaigns.
Nevertheless, some post-truth vendors argue that to counter all cyberthreats,companies only need a single layer of protection that uses the"latest" machine learning algorithm.
This class teaches machine learning algorithms for computer vision.
This machine learning algorithm is a black box that can be re-used for lots of different classification problems."Machine learning" is an umbrella term covering lots of these kinds of generic algorithms. .
Your decision to use either a supervised or unsupervised machine learning algorithm will depend on various factors, such as the structure and size of the data.
The research of machine learning algorithms have produced a range of options that can be applied to classification problems.
Moreover, in cybersecurity, some problems require so much computational capacity- orare so time-consuming- that even a machine learning algorithm would be ineffective in solving them- making them practically undecidable.
There is a risk of machine learning algorithms amplifying what we see in the real world.
On Professional and Enterprise, the Knowledge Capture app includes recommendations from Answer Bot for Agents,which leverages its machine learning algorithm so agents are getting even better article recommendations by taking into account the full context of the customer's question.
You can think of machine learning algorithms as falling into one of two main categories- supervised learning and unsupervised learning. .
This paper aims to forecast the spot exchange rate of 15 currency pairs by applying a machine learning algorithm¿support vector regression¿based on a fundamentalist model composed of 13 explanatory variables.
If a vendor claims its machine learning algorithm can label every sample prior to running it and decide whether it is clean or malicious, then it would have to preventively block a huge amount of undecidable items- flooding company IT departments with false positives.
Cisco is leading the way with machine learning algorithms at the core of its Encrypted Traffic Analytics technology.
The application of machine learning algorithms to identify patterns in human activity is changing the way human behavior can be investigated and predicted.
SVMs are a class of supervised Machine Learning algorithm, proficient in the classification of linearly separable data.
In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings, and that it may have revealed previously unrecognized influences between artists.
Through the combination of game-changing Machine Learning Algorithms, world-class data science expertise, and passionate focus on making complex systems easy to use.
If a next-gen vendor claims its machine learning algorithm can label every sample prior to running it and decide whether it is clean or malicious, then it would have to preventively block a huge amount of undecidable items- flooding company IT departments withfalse positives.