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Effective Data Science Infrastructure - MEAP Version 7 by Ville Tuulos is a nonfiction available to read on EtoBox.
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Effective Data Science Infrastructure MEAP V07 Copyright welcome Brief contents Chapter 1: Introduction 1.1 Why Data Science Infrastructure 1.1.1 Lifecycle of a Data Science Project 1.2 What is Data Science Infrastructure 1.2.1 The Infrastructure Stack for Data Science 1.2.2 Taming Complexity 1.2.3 Leveraging Existing Platforms 1.3 Human-Centric Infrastructure 1.3.1 Data scientist autonomy 1.4 Summary Chapter 2: The Toolchain of Data Science 2.1 Setting up a Development Environment 2.1.1 Cloud Account 2.1.2 Data Science Workstation 2.1.3 Notebooks 2.1.4 Putting things together 2.2 Introducing Workflows 2.2.1 The basics of workflows 2.2.2 Executing workflows 2.2.3 The world of workflow frameworks 2.3 Summary Chapter 3: Introducing Metaflow 3.1 Basics of Metaflow 3.1.1 Writing a basic workflow 3.1.2 Managing data flow in workflows 3.1.3 Parameters 3.2 Branching and merging 3.2.1 Valid DAG structures 3.2.2 Static branches 3.2.3 Dynamic branches 3.2.4 Controlling Concurrency 3.3 Metaflow in Action 3.3.1 Starting a new project 3.3.2 Accessing results with the Client API 3.3.3 Debugging failures 3.3.4 Finishing touches 3.4 Summary Chapter 4: Scaling with The Compute Layer 4.1 What is Sca
Who reads Effective Data Science Infrastructure - MEAP Version 7?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ville Tuulos
- Publisher
- Manning Publications
- Published
- 2022
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
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