Examples of using Training data in English and their translations into Arabic
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Colloquial
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Political
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Ecclesiastic
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Ecclesiastic
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Computer
Essential Training Data.
Training data is not available.
Summary of Training Data 2008.
Function complexity and amount of training data.
VIII. TRAINING, DATA AND STATISTICS 95- 100.
The GProCommission collects, tracks and reports pastoral training data.
The quality of artificial intelligence relies upon robust, versatile training data.
Every training data will be recorded to help you understand your progress.
In a sense, we converted one image into billions of training data points, massively reducing the amount of data needed for training. .
The more training data it's given, the better the algorithm becomes at correctly identifying new images.
The risk R( g){\displaystyle R(g)} of function g{\displaystyleg} is defined as the expected loss of g{\displaystyle g}. This can be estimated from the training data as.
So we're gathering training data to run through a convolutional neural net.
So instead of focusing solely on better and better algorithms,my insight was to give the algorithms the kind of training data that a child was given through experiences in both quantity and quality.
They will also compile training data, maintain records and identify future needs for training in the sectors.
With sophisticated metadata found in over 45 million pieces of fully-licensable news content,Reuters material is an indispensable source of training data, whatever your project is.
This data is called training data because it was used to train the model.
In instances where there is a risk of discrimination, publishing technical specification with details of the machine learning and its functions,including samples of the training data used and details of the source of data. .
UNHCR reported staff training data by training activities, but there was no specific reporting available on ICT training. .
Often marginalized in national government structures, these mechanisms are frequently hampered by unclear mandates,lack of adequate staff, training, data and sufficient resources, and insufficient support from national political leadership.
Most approaches that search through training data for empirical relationships tend to overfit the data, meaning that they can identify apparent relationships in the training data that do not hold in general.
We can also provide adaptive biometric Systems aim to auto-update the templates or model.The two-fold advantages of these systems are solving the problem of limited training data and tracking the temporal variations of the input data through adaptation.
Machine learning-based methods oftenrequire very large data sets as training data to build useful models.[10] Manual annotation of large text corpora is not realistically possible. Training data may therefore be products of weak supervision[11][12] or purely statistical methods.
Several probabilistic methods used for Part of speech(POS) tagging are based on Hidden Markov Models(HMM), these methods have difficulties especially in estimatingtransition probabilities accurately from limited amounts of training data. Consequently, a new method appeared to.
(b) At the time of audit,there was no efficient mechanism in the Service to collect and analyse the training data from field missions, making it difficult for the Service to maintain accurate, up-to-date and complete mission training data;
Education and Training Survey is one of the most important sources of data necessary for planning in education and training fields nationwide.It is also used to provide the required education and training data at the international and regional levels.
In addition, the incumbent will be responsible for the review and compilation of data for vendor performance in the missions,compilation of audit reports and recommendations, training data for field procurement staff and acquisition plans from the peacekeeping missions as well as the administrative coordination of training at the peacekeeping missions and administrative assistance to the Section.
The mine-action programme for Afghanistan, through a partner non-governmental organization, has maintained a sophisticated and comprehensive national database and information system which incorporates all level 1 and level 2 survey data, the progress of all clearance activities(minefield and battle area clearance),mine-awareness data, training data and civilian mine accident data.
Approaches to a more formal definition of inductive bias are based on mathematical logic. Here, the inductive bias is a logical formula that,together with the training data, logically entails the hypothesis generated by the learner. However, this strict formalism fails in many practical cases, where the inductive bias can only be given as a rough description(e.g. in the case of artificial neural networks), or not at all.
There are two basic approaches to choosing f{\displaystyle f} or g{\displaystyle g}: empirical risk minimization and structural risk minimization.[6]Empirical risk minimization seeks the function that best fits the training data. Structural risk minimize includes a penalty function that controls the bias/variance tradeoff.