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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems

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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark

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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions

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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python

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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud

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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence

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Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java

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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows

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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization

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Getting Started with Flurry Analytics. In today's mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer's guide

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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations

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Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications

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