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Why It Matters: Types Of Data For Machine Learning » EML

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Why It Matters: Types Of Data For Machine Learning » EML

Data is the heart and soul of machine learning.

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💡 أفضل 15 خوارزمية في تعلم الآلة (Machine Learning) #The_World_of_Data #MachineLearning #DeepLearning #AI #DataScience --- 📘 إذا كنت تبدأ رحلتك في عالم تعلم الآلة، فهذه الصورة تلخص لك الخريطة الكبرى التي تجمع أهم الخوارزميات التي يعتمد عليها العلماء والمهندسون لبناء النماذج الذكية 🔥 دعنا نفهمها معًا بوضوح وبأسلوب عملي 👇 --- ❇️ أولًا: التعلم الخاضع للإشراف (Supervised Learning) في هذا النوع، النموذج يتعلم من بيانات مُعلّمة (labeled) أي يعرف الإجابة الصحيحة أثناء التدريب. الهدف: التنبؤ بنتيجة

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💡 أفضل 15 خوارزمية في تعلم الآلة (Machine Learning) #The_World_of_Data

The World of Data

K-Means is a popular clustering algorithm used in data analysis and machine learning to group data points into a specified number of clusters, k, based on their similarity. It works by assigning each data point to the cluster whose center (called a centroid) is closest to it, then recalculating the centroids until the assignments stop changing or the improvement becomes minimal. The main goal of K-Means is to minimize the Within-Cluster Sum of Squares (WCSS)—a measure of how tightly the points i

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