(Ebook) Unsupervised Learning with Generative AI (MEAP V09) by Vaibhav Verdhan ISBN 9781617298721, 1617298727

(Ebook) Unsupervised Learning with Generative AI (MEAP V09) by Vaibhav Verdhan ISBN 9781617298721, 1617298727

Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems.In Unsupervised Learning with Generative AI you’ll learn:Fundamental building blocks and concepts of machine learning and unsupervised learningData cleaning for structured and unstructured data like text and imagesClustering algorithms like kmeans, hierarchical clustering, DBSCAN, Gaussian Mixture Models, and Spectral clusteringDimensionality reduction methods like Principal Component Analysis (PCA), SVD, Multidimensional scaling, and t-SNEAssociation rule algorithms like aPriori, ECLAT, SPADEUnsupervised time series clustering, Gaussian Mixture models, and statistical methodsBuilding neural networks such as GANs and autoencodersDimensionality reduction methods like Principal Component Analysis and multidimensional scalingAssociation rule algorithms like aPriori, ECLAT, and SPADEWorking with Python tools and libraries like sklearn, bumpy, Pandas, matplotlib, Seaborn, Keras, TensorFlow, andFflaskHow to interpret the results of unsupervised learningChoosing the right algorithm for your problemDeploying unsupervised learning to productionUnsupervised Learning with Generative AI introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You’ll discover hands-off and unsupervised machine learning approaches that can still untangle raw, real-world datasets and support sound strategic decisions for your business.Don’t get bogged down in theory—the book bridges the gap between complex math and practical Python implementations, covering end-to-end model development all the way through to production deployment. You’ll discover the business use cases for machine learning and unsupervised learning, and access insightful research papers to complete your knowledge.