BOOKS - Software Engineering for Data Scientists: From Notebooks to Scalable Systems
Software Engineering for Data Scientists: From Notebooks to Scalable Systems - Catherine Nelson June 4, 2024 PDF BOOKS
Stars49 Stars 3 TON

Views
85357

Telegram
 
Software Engineering for Data Scientists: From Notebooks to Scalable Systems
Author: Catherine Nelson
Year: June 4, 2024
Format: PDF
File size: PDF 1.4 MB
Language: English



Pay with Telegram STARS
''

You may also be interested in:

Practical Data Science with Jupyter Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter
Research Software Engineering with Python Building software that makes research possible
Exciting Engineering Activities (Curious Scientists)
Data Engineering with AWS: A Comprehensive Guide to Building Robust Data Pipelines
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Visual Analytics for Data Scientists
Data Analysis for Scientists and Engineers
Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 90)
Supervised and Unsupervised Data Engineering for Multimedia Data
Data Engineering and Data Science: Concepts and Applications
Supervised and Unsupervised Data Engineering for Multimedia Data
Supervised and Unsupervised Data Engineering for Multimedia Data
Data Engineering and Data Science Concepts and Applications
Foundations of Statistics for Data Scientists With R and Python
Data Structures for Engineers and Scientists Using Python
Data Science for Sensory and Consumer Scientists
Data Science for Sensory and Consumer Scientists
Statistics and Data Analysis for Engineers and Scientists
Data Structures for Engineers and Scientists Using Python
Statistics and Data Analysis for Engineers and Scientists
SAS for R Users A Book for Data Scientists
Practical Python Programming for Data Scientists
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
Basic Environmental Data Analysis for Scientists and Engineers
Python Tools for Data Scientists Pocket Primer
Practical Statistics for Data Scientists 50 Essential Concepts
Go To: The Story of the Math Majors, Bridge Players, Engineers, Chess Wizards, Maverick Scientists, and Iconoclasts - the Programmers Who Created the Software Revolution
Data Science with Java Practical Methods for Scientists and Engineers
A First Course in Random Matrix Theory For Physicists, Engineers and Data Scientists
Statistics for Biomedical Engineers and Scientists How to Analyze and Visualize Data
Software Engineering
Software Engineering
Cardboard Box Engineering: Cool, Inventive Projects for Tinkerers, Makers and Future Scientists
Machine Learning and Computational Intelligence Techniques for Data Engineering: Proceedings of the 4th International Conference MISP 2022, Volume 2 (Lecture Notes in Electrical Engineering Book 998)
R-ticulate: A Beginner|s Guide to Data Analysis for Natural Scientists