Student Feedback - Chapter 13

[jasonjabbour]

Chapter 13 - ML Operations

• One of the things we realized when reading this chapter was that a "Revision" section at the beginning of each chapter could be helpful. The section would consist of brief explanations of topics that have been mentioned before in the textbook, but the reader might have forgotten in the meantime. A lot of these topics build off of each other and we are constantly seeing a re-introduction of things we covered before--this "Revision" section inclusion could help cut down on that duplication of explanation.
• We felt like we got everything but the last Learning Objective bullet point.
• The first paragraph of this section offers some roadmapping as to where the chapter is going to go--this kind of roadmapping has been included in some chapters but not others. We would recommend standardizing this across all chapters, or not including it in any.
• Roadmapping is also included in the beginning of 13.3 Key Components of MLOps; the double roadmapping from the introduction to here is not necessary.
• In 13.2 Historical Context, specifically the portion explaining DevOps, felt a little unnecessary and seemed like it had the potential to confuse readers. If looking to shorten, I think this section could be cut.
• Figure 13.3 has been included in previous chapters, and is included twice in this chapter (also seen in Figure 13.4)
• The 13.5 Roles and Responsibilities section feels very similar to Chapter 4's 4.3 Roles and Responsibilities section--I don't think we need both.
• I also feel like we've covered 13.6 Embedded System Challenges in earlier chapters; it feels like we could cut this.
• (I know I'm being repetitive at this point but) 13.7 Traditional MLOps vs. Embedded MLOps also feels like it's been implicitly covered in earlier chapters, and you could cut this section.
• 13.9 Case Studies felt a little more in-depth than was necessary. As this is a long chapter, perhaps cut some of this section?
  Machine Learning Systems - 13 ML Operations.pdf

Originally posted by @sgiannuzzi39 in #256 (comment)