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TABLE OF CONTENTS16 sections

Python Programming for AI and ML

01Python Programming for AI and ML 02Python And The Aiml Development Ecosystem 03Syntax Variables And The Python Object Model 04Control Flow And Algorithmic Problem Solving 05Core Data Structures And Collections 06Functions And Functional Programming 07Modules Packages And Object Oriented Design 08Reliability Testing And Software Quality 09Data Access Persistence And Integration 10Numerical Computing With Numpy And Scientific Python 11Data Wrangling With Pandas 12Visualisation Statistics And Exploratory Analytics 13Machine Learning Workflows In Python 14Deep Learning And Contemporary Ai Frameworks 15Performance Parallelism And Scalable Computing 16Production Ai Mlops And Responsible Governance

Chapter 13

Deep Learning And Contemporary Ai Frameworks

PREVIOUS SECTIONMachine Learning Workflows In Python UP NEXTPerformance Parallelism And Scalable Computi...

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