A field of artificial intelligence that enables systems to learn from data and make decisions with minimal human intervention.
Explore the transformative techniques of PCA and t-SNE in reducing dimensions and visualizing complex data structures in the realm of Machine Learning.
Explore the fascinating world of dimensionality reduction through Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) techniques, unraveling their significance in simplifying complex data structures.
Explore the transformative techniques of PCA and t-SNE in reducing dimensions and visualizing complex data structures in machine learning.