Software Engineering for Data Scientists presents principles that will improve the performance and efficiency of data science projects.
Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves!
This article introduces the concept and definition of differential privacy.
Read it if you’re a machine learning engineer, or a developer building around machine learning.
From Real-World Natural Language Processing by Masato Hagiwara
From Real-World Cryptography by David Wong
From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann
This articles explains the Singleton Lifestyle: what it is and what it means for your code.
From Machine Learning with R, tidyverse, and mlr by Hefin Rhys
This article covers:
• What the tidyverse is
• What’s meant by tidy data
• How to install and load the tidyverse
• How to use the tibble, dplyr, ggplot2 and tidyr packages of the tidyverse
Chapters selected by Paulo Pereira
