Status Updates From Building Machine Learning P...

pretty disappointing, not much value for me personally, most of the features in such a pipeline we already built on our own, we have even more specific features. what's worse, the TFX changes so much since the book's publication, lack of documentation, lack of working code

The source code in the book contains lots of errors. also the author's github repo contains only a few samples from the books

The source codes in the book contains quite a number of error and cannot be run

the source code in the book really needs some revision, example_gen is mentioned without even the import statementm, also bad syntax highlight, cannot tell output from code when given example

the source code in the book really needs some revision, example_gen is mentioned without even the import statement

not particularly impressed by tfx at this point, the code was broken due to version update, and the api change so significantly, that due to lack of latest documentation on the basic examples, it is literally not runnable, i can either revert to 0.22 (which i don't like to do) or google search for latest example, which difficult to come by considering change in api and debug on my own (yes reverse engineer and guess

text seems reasonably well researched. Github repo accompanying the book is poorly maintained, missing chapters and has notebook names like 'untitled.ipynb'. Few data files and accompanying code seems to be an afterthought. Plan reading another chapter before canning this. Seems like a GCP marketing artifact.