Some of the Questions in my mind , hope to get insights on these topics after reading in the book ,
1. As an ML engineer a lot of times we struggle operationalizing an ML model from prototyping to production - Any Recommendations and best practices (version control, re-usability of a trained model )
2. How good the AutoML tools solve the NLP challenges?
3. What are some of the Cloud Native NLP solutions, without needing to code a lot to rapidly prototype something?
4. What are your recommendations in terms of running NLP at scale ?
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Building a Better World in your Backyard by Paul Wheaton and Shawn Klassen-Koop