PinnedSanket NadargiThe Dawn of Creativity: Journey into Generative AIIn the rapidly evolving landscape of technology, the emergence of Generative AI marks a pivotal moment in the history of creativity. As…Mar 4Mar 4
Sanket NadargiDecoders in Artificial IntelligenceIn artificial intelligence and machine learning, a decoder is a component of neural network architectures, often used in conjunction with…May 14May 14
Sanket NadargiEncoder in Artificial IntelligenceIn artificial intelligence and machine learning, an encoder is a component of neural network architectures, particularly in autoencoders…May 14May 14
Sanket NadargiNeural NetworksNeural networks, inspired by the structure and functioning of the human brain, are a class of machine learning models used for supervised…May 14May 14
Sanket NadargiExpectation-Maximization (EM) clusteringExpectation-Maximization (EM) clustering is a powerful algorithm used for fitting mixture models to data, particularly in situations where…May 13May 13
Sanket NadargiHierarchial ClusteringHierarchical clustering is a popular unsupervised clustering algorithm that organizes data points into a hierarchical tree-like structure…May 13May 13
Sanket NadargiMean Shift clusteringMean Shift clustering is a non-parametric clustering algorithm that identifies clusters in a dataset by iteratively shifting data points…May 13May 13
Sanket NadargiDensity-Based Spatial Clustering of Applications with Noise (DBSCAN)Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a popular clustering algorithm that groups together closely packed…May 13May 13
Sanket NadargiK-Means ClusteringK-means clustering is one of the most widely used unsupervised machine learning algorithms for partitioning a dataset into K distinct…May 13May 13
Sanket NadargiClustering AlgorithmsClustering algorithms are unsupervised machine learning techniques used to partition a dataset into groups, or clusters, based on the…May 13May 13
