Zero to One

• Verfasst von: Deza, Alfredo [VerfasserIn]
• Verfasst von: Gift, Noah [VerfasserIn]
• Titel: Zero to One
• Titelzusatz: Data Science to MLOps
• Institutionen: Safari, an O’Reilly Media Company. [MitwirkendeR]
• Verf.angabe: Deza, Alfredo
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Pragmatic AI Solutions
• Jahr: 2021
• Umfang: 1 online resource (1 video file, approximately 1 hr., 13 min.)
• Fussnoten: Online resource; Title from title screen (viewed March 20, 2021)
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic videos ; local
• K10plus-PPN: 1756031029
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3918267318
• Lokale URL Inst.: Zum Volltext

Abstract

Zero to One: Data Science to MLOps in One Hour. Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps Topics include: * Big Tech Misinformation and what can be done about it using Data Science. * Doing MLOps with sklearn and Flask by creating Microservices * Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries * Putting code into production using the Python MLOps Cookbook found here: https://github.com/noahgift/data-story-telling