Can I read Software Engineering for Data Scientists (MEAP v2) on EtoBox?

Software Engineering for Data Scientists (MEAP v2) by Andrew Treadway is a nonfiction available to read on EtoBox.

What is Software Engineering for Data Scientists (MEAP v2) about?

These easy to learn and apply software engineering techniques will radically improve collaboration, scaling, and deployment in your Data Science projects. In Software Engineering for Data Scientists you’ll learn to improve performance and efficiency by: Using source control Handling exceptions and errors in your code Improving the design of your tools and applications Scaling code to handle large data efficiently Testing model and data processing code before deployment Scheduling a model to run automatically Packaging Python code into reusable libraries Generating automated reports for monitoring a model in production Software Engineering for Data Scientists presents important software engineering principles that will radically improve the performance and efficiency of Data Science projects. Author and Meta data scientist Andrew Treadway has spent over a decade guiding models and pipelines to production. This practical handbook is full of his sage advice that will change the way you structure your code, monitor model performance, and work effectively with the software engineering teams. Jupyter Notebook is a popular tool for data scientists because it integrates coding with being a

Who reads Software Engineering for Data Scientists (MEAP v2)?

Author

Andrew Treadway

Publisher

Manning Publications Co. LLC

Published

2023

Language

EN

ISBN

9781633438842

Category

nonfiction

Subjects

Computer Science, Stem