Thank You

Conclusion to the course data science in production: building scalable model pipelines

Writing this course has been a great experience that has allowed me to get hands-on with many of the tools that I advocate for data scientists to learn and add to their toolboxes. Thank you for reading through this course to the end!

Given the breadth of tools covered in this course, I wasn’t able to provide much depth on any particular topic. The next step for readers is to choose a topic introduced in this text and find resources to learn about the topic in more depth than can be covered here.

Data science is a rapidly evolving field, and that means that the contents of this course will become outdated as cloud platforms evolve and libraries are updated. While I was authoring this text, substantial updates were released for TensorFlow, which impacted the later chapters. The takeaway is that keeping up with data science as a discipline requires ongoing learning and practice.

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