Dwivedi, Neelam
Data Science Methodologies: Making Business Sense
LEO-SUED Medien

There is an increasing recognition that data science needs to go beyond small-scale experimentation to a large-scale implementation. In this course, Neelam Dwivedi brings software engineering and data mining methodologies to data scientists, then applies these ideas by taking a simple business need through an entire life cycle-hosting a model, consuming it in a web application, and setting up its CI/CD pipeline. Neelam begins by explaining the methodologies used in the course and how they are combined. She shows you where to begin in developing architecture and deploying a model, then explains how larger web applications may consume the model as a service. Neelam covers how to stage your model and the app, as well as how to plan ahead with an overall roadmap. She concludes with thoughts on how to further applications of data science methodologies.


Ausleihstatus des eMediums wird abgefragt...
Dieses Medium ist ein elektronisches Medium (eLearning). Sie können dieses Medium im eMedien-Portal Ihrer Bibliothek ansehen, entleihen oder vormerken.
Zum Download / Zur Anzeige

Weiterführende Informationen

Personen: Dwivedi, Neelam

Dwivedi, Neelam:
Data Science Methodologies: Making Business Sense : LinkedIn, 2021. - 01:49:17

Zugangsnummer: EM-1611191123
Signatur: eLearning - LEO-SUED Medien