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    3. Data Without Labels

    Data Without Labels

    Posted By: hill0
    Date: 24 Jun 2025 10:36:48
    Data Without Labels

    Data Without Labels
    Author: Vaibhav Verdhan
    Narrator: n/a
    English | 2025 | ISBN: 9781617298721 | MP3@64 kbps | Duration: 10h 30m | 825 MB

    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 clustering
    Dimensionality reduction methods like Principal Component Analysis (PCA), SVD, Multidimensional scaling, and t-SNE
    Association rule algorithms like aPriori, ECLAT, SPADE
    Unsupervised time series clustering, Gaussian Mixture models, and statistical methods
    Building neural networks such as GANs and autoencoders
    Dimensionality reduction methods like Principal Component Analysis and multidimensional scaling
    Association rule algorithms like aPriori, ECLAT, and SPADE
    Working with Python tools and libraries like sci-kit learn, numpy, Pandas, matplotlib, Seaborn, Keras, TensorFlow, and Flask
    How to interpret the results of unsupervised learning
    Choosing the right algorithm for your problem
    Deploying unsupervised learning to production
    Maintenance and refresh of an ML solution
    UPWARDS