Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Addison-Wesley Data & Analytics Series)

Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Addison-Wesley Data & Analytics Series)


Book Informaton

Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Addison-Wesley Data & Analytics Series)

Author

Andrew Kelleher, Adam Kelleher

Year of Publication

2019

Publisher

Addison-Wesley Professional

Pages

288

Language

en

ISBN

0134116542, 9780134116549

ARI Id

1673431603876


Find on

World Cat

OpenLibrary

Internet Archive


This page has been accessed 4 times.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Citation Options
Download Citation

Showing 1 to 20 of 260 entries
Chapters/HeadingsAuthor(s)PagesInfo
About the Authors
I: Principles of Framing
1 The Role of the Data Scientist
11 Introduction
12 The Role of the Data Scientist
121 Company Size
122 Team Context
123 Ladders and Career Development
124 Importance
125 The Work Breakdown
13 Conclusion
2 Project Workflow
21 Introduction
22 The Data Team Context
221 Embedding vs Pooling Resources
222 Research
223 Prototyping
224 A Combined Work˝ow
23 Agile Development and the Product Focus
231 The 12 Principles
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 260 entries