Manfaat AI Dalam Kehidupan Sahari-hari
Artificial Intelligence (AI) bukan lagi sekadar konsep futuristik yang hanya ada di film fiksi ilmiah. …
machine learning
Clustering On Machine Learning
In summary, K-Means is a popular clustering algorithm, while K-Means++ and the Elbow Method are techniques that enhance the K-Means algorithm. K-Means++ improves the initial centroid selection process, leading to better clustering outcomes and potentially reducing the required iterations for convergence. The Elbow Method aids in determining the optimal number of clusters by analyzing the variance and identifying the point of significant decrease. Combining K-Means++, the Elbow Method, and K-Means itself can yield more accurate and meaningful clustering results, empowering data scientists and analysts to gain insights and make informed decisions in various domains.
Machine Learning Recommender Systems
Overview A recommender system is a type of machine learning technique that is used to …
7 Topic for Machine Learning
Overview Machine learning is a subset of artificial intelligence that involves building algorithms and statistical …
10 Tips Thesis if you’re Planning to Make a Thesis About Machine Learning
Here are 10 tips if you’re planning to make a thesis about machine learning: These …
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Perbedaan Tradisional Statistik vs Machine Learning
Tradisional statistik dan machine learning memiliki perbedaan dalam beberapa hal, antara lain dari tujuan, pendekatan, …
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Contoh Penearapan Machine Learning
Berikut adalah beberapa contoh penerapan machine learning: Deteksi Spam Email Machine learning dapat digunakan untuk …