Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Addison-Wesley Data & Analytics Series) by Andrew Kelleher, Adam Kelleher
Requirements: .PDF reader, 9 MB
Overview: Foundational Hands-On Skills for Succeeding with Real Data Science Projects
Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory.
Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish.
Genre: Non-Fiction > Tech & Devices

Download Instructions:
https://userupload.net/20twyummu02b
https://dropgalaxy.vip/sdtprj9kzshk
Trouble downloading? Read This.
Requirements: .PDF reader, 9 MB
Overview: Foundational Hands-On Skills for Succeeding with Real Data Science Projects
Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory.
Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/20twyummu02b
https://dropgalaxy.vip/sdtprj9kzshk
Trouble downloading? Read This.