Data Without Labels

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Data Without Labels you’ll learn: • Fundamental building blocks and concepts of machine learning and unsupervised learning • Data cleaning for structured and unstructured data like text and images • Clustering algorithms like K-means, hierarchical clustering, DBSCAN, Gaussian Mixture Models, and Spectral clu