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Support Vector Machines (SVM) are one of the supervised learning methods and are used for both classification and regression problems. SVM is a powerful algorithm that performs effectively especially on high-dimensional datasets. Its primary objective is to find an optimal hyperplane that separates or classifies the data.DefinitionAlthough support vector machines are used in both classification and regression analysis in the literature, they are generally preferred as a machine learning method f

The loss function is one of the fundamental tools used in machine learning and statistical modeling to measure a model’s predictive performance. It converts the difference between the predicted value and the true value into a numerical measure that indicates how accurate or inaccurate the model’s predictions are. Loss functions not only quantify the error rate but also provide information on how the model should be optimized. They play a critical role in training models in fields such as deep le

Türk Loydu Compliance Evaluation Services Anonymous Company (Türk Loydu CESS A.Ş.) is an independent classification and conformity assessment organization established by the Türk Loydu Foundation. It has operated as an anonymous company since 2017, with the Türk Loydu Foundation as its sole shareholder.The organization provides technical competence and classification services in the maritime, energy, defense, and industrial sectors. On 1 November 2023, it became a full member of the Internationa

Earwigs (Dermaptera) are insects that have existed in nature for a very long time and are found in many parts of the world, especially in warm and humid regions. Their name comes from the pincer-like structures at the end of their abdomens. These insects are nocturnal and hide during the day under stones, between tree bark, or in moist soil. Female earwigs are notable for providing care to their offspring—an uncommon trait among insects.Morphology and Distinctive FeaturesEarwigs have a flat and

K-Nearest Neighbors (KNN) is a lazy learning method based on supervised learning that can be applied to both classification and regression problems. The KNN algorithm is described in the literature as a non-parametric approach because it does not require parameter estimation or complex model training. This method relies on storing all training examples in memory, and the prediction process is carried out by computing the distances between the query example and the training examples. In this cont

Electrical measuring instruments are devices used to determine various electrical quantities such as current, voltage, resistance, power, energy, capacitance, inductance, and frequency in electrical circuits and systems. These instruments have a wide range of applications, from industrial facilities to household electronics, and from laboratories to electronic maintenance and repair work. They are critically important for ensuring the safe, accurate, and efficient operation of electrical systems

Logistic regression is a classification method used in statistical modeling and machine learning for situations where the dependent variable has limited categories. It is typically developed to predict binary outcomes (e.g. yes/no, 0/1), and for more complex structures, multinomial or ordinal logistic regression models are also employed. At its core, it relates probabilities to independent variables through a logit transformation.Working PrincipleUnlike linear regression, logistic regression doe

Ibn Sīnā’s (980–1037) classification of philosophy and science is a systematic categorization of knowledge based on its purpose and its relationship to human will, dividing it into two main categories: theoretical (nazarī), oriented toward the acquisition of truth, and practical (amelī), oriented toward action. Within the framework of the Peripatetic philosophical tradition, Ibn Sīnā constructed a coherent system of thought addressing the relationships between God, the universe, and humanity. Wh