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TABLE OF CONTENTS16 sections

Programming for Data Science (Python/R)

01Programming for Data Science (Python/R)02Data Science Programming Foundations 03Data Types Structures And Program Control 04Functions Modularity And Object Oriented Programming 05Numerical And Statistical Computing 06Data Acquisition And Interchange 07Data Wrangling And Feature Engineering 08Exploratory Data Analysis And Analytical Reasoning 09Data Visualization And Communication 10Databases Sql And Scalable Data Access 11Reproducible Research And Software Engineering 12Efficient Parallel And Cloud Computing 13Programming Machine Learning And Ai Workflows 14Deployment Apis And Mlops 15Ethics Security And Dataai Governance 16Enterprise Strategy And Emerging Programming Trends

Chapter 12

Programming Machine Learning And Ai Workflows

PREVIOUS SECTIONEfficient Parallel And Cloud Computing UP NEXTDeployment Apis And Mlops

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