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Books > Non-Fiction > Computing & I.T. > Computer Science > Human-Computer Interaction > Information Visualisation
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  • The Kaggle Book : Data analysis and machine learning for competitive data science - Konrad Banachewicz
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  • Building IoT Visualizations using Grafana : Power up your IoT projects and monitor with Prometheus, LibreNMS, and Elasticsearch - Rodrigo Juan Hernández
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  • Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more - Aditya Bhattacharya
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  • The Pandas Workshop : A comprehensive guide to using Python for data analysis with real-world case studies - Blaine Bateman
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  • Actionable Insights with Amazon QuickSight : Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight - Manos Samatas
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  • Creating Actionable Insights Using CRM Analytics : Learn how to build insightful and actionable data analytics dashboards - Mark Tossell
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  • Production-Ready Applied Deep Learning : Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks - Tomasz Palczewski
    Production-Ready Applied Deep Learning
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    Tomasz Palczewski, Jaejun Lee and Lenin Mookiah
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  • Codeless Time Series Analysis with KNIME : A practical guide to implementing forecasting models for time series analysis applications - Corey Weisinger
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  • Salesforce Data Architect Certification Guide : Comprehensive coverage of the Salesforce Data Architect exam content to help you pass on the first attempt - Aaron Allport
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