Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

T. SarkarProductive and Efficient Data Science with Pythonhttps://doi.org/10.1007/978-1-4842-8121-5_6

6. Build Your Own ML Estimator/Package

Tirthajyoti Sarkar¹  

(1)

Fremont, CA, USA

 

I start this chapter with the same assertion as in Chapter 4: data scientists often come from a background quite removed from traditional computer science/software engineering, such as physics, biology, statistics, economics, and electrical engineering. Figure Figure 6-1 confirms this.

Figure 6-1

Data scientists come from a wide variety of fields and professional experience. Source: ...