`machinelearning` Related Article Results

Artificial intelligence has come to the forefront through its ability to perform human-like cognitive tasks such as learning, decision-making, and problem-solving. Today, it has moved beyond being merely a research field and is being applied across numerous domains including healthcare, education systems, transportation, and manufacturing. This rapid expansion carries the potential to profoundly transform our ways of life, work, and social interactions. Impacts on the Economy and Labor Force Art

Advanced Rocket Motor Technologies: A multidisciplinary field of research and engineering that integrates chemical and electric propulsion concepts, advanced material solutions, novel propellants, and data-driven design tools. This field aims to optimize propulsion systems in terms of thrust, reusability, cost, and environmental impact. Current research focuses on enhancing classical liquid and solid motor architectures while developing new technologies such as hybrid motors, green propellants,

Kuantizasyon, büyük dil modellerinin (LLM – Large Language Models) parametrelerinin daha düşük bit genişlikleriyle temsil edilerek bu modellerin daha az bellek kullanması ve daha verimli çalışması amacıyla uygulanan bir optimizasyon tekniğidir.Büyük dil modelleri, milyarlarca parametre içeren derin sinir ağlarıdır. Metin üretimi, özetleme ve çeviri gibi doğal dil işleme görevlerinde yüksek başarı gösteren bu modellerin çalıştırılması, önemli ölçüde hesaplama gücü, bellek ve enerji gerektirir. Ör

NumPy (Numerical Python), yüksek performanslı bilimsel hesaplamalar için kullanılan açık kaynaklı bir Python kütüphanesidir. Sayısal verilerle etkin çalışmayı sağlar ve çok boyutlu diziler (arrays), matrisler ve bu diziler üzerinde yüksek seviyeli matematiksel işlemler gerçekleştirmek için kapsamlı araçlar sunar. Python programlama dilinde veri analizi, makine öğrenimi, görüntü işleme, sinyal işleme gibi birçok alanda temel taşlardan biri olarak kabul edilir.TarihçeNumPy'nin kökeni, 1995 yılında

Supervised learning is one of the fundamental types of machine learning and relies on learning from labeled examples in a data dataset. This method enables an algorithm to be trained to map a given input to the correct output (label). Supervised learning is commonly used in classification and regression like tasks.Key FeaturesData Labeling: Supervised learning algorithms are trained with knowledge of the correct output value for each training example. That is, the correct result (label) correspo

Today, data and digital have become among the world’s most important assets. Data science is a discipline developed to analyze these data transform them into meaningful insights and contribute to decision-making processes. Machine learning, encompassing statistics big data processing and data visualization such as data science plays a critical role across various industries.Areas Covered by Data Science (Credit: maarificedid.com)" image-alternate="" image-element-format="justify">Data Science

NumPy (Numerical Python) is an open-source Python library used for high-performance scientific computing. It enables manipulation of numerical data active and provides comprehensive tools for working with multidimensional arrays, matrices, and performing high-level mathematical operations on these arrays. In the Python programming language, NumPy is considered one of the foundational pillars in areas such as data analysis, machine learning, image processing, signal processing like and many other

Tiny Machine Learning (TinyML) is a technology field that enables the execution of machine learning algorithms on low-power embedded hardware. This field makes it possible for artificial intelligence models, which traditionally require high computational power, large memory capacity, and significant energy consumption, to operate on devices with limited resources such as microcontrollers. In this context, TinyML forms the foundation of next-generation intelligent systems by integrating the compu