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Build a Robo-Advisor with Python (From Scratch): Automate your financial and investment decisions Front Cover

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Fundamentals of Data Engineering: Plan and Build Robust Data Systems Front Cover

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GPT-3: Building Innovative NLP Products Using Large Language Models Front Cover

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Data Quality Engineering in Financial Services: Applying Manufacturing Techniques to Data Front Cover

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Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark Front Cover

Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

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Data Quality Fundamentals: A Practitioner’s Guide to Building Trustworthy Data Pipelines Front Cover

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The Art of Data Science: Transformative Techniques for Analyzing Big Data Front Cover

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Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success – 2nd Edition Front Cover

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Julia Quick Syntax Reference, 2nd Edition: A Pocket Guide for Data Science Programming Front Cover

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Algorithms and Data Structures for Massive Datasets Front Cover

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Data Analytics with Spark Using Python Front Cover

Data Analytics with Spark Using Python

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Data Analysis with Python and PySpark Front Cover

Data Analysis with Python and PySpark

  • Length: 425 pages
  • Publication Date: 2022-03-15
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