• Post Reply Bookmark Topic Watch Topic
  • New Topic
programming forums Java Mobile Certification Databases Caching Books Engineering Micro Controllers OS Languages Paradigms IDEs Build Tools Frameworks Application Servers Open Source This Site Careers Other all forums
this forum made possible by our volunteer staff, including ...
  • Campbell Ritchie
  • Liutauras Vilda
  • Bear Bibeault
  • Tim Cooke
  • Junilu Lacar
  • Paul Clapham
  • Devaka Cooray
  • Knute Snortum
Saloon Keepers:
  • Ron McLeod
  • Tim Moores
  • Stephan van Hulst
  • Tim Holloway
  • Frits Walraven
  • Carey Brown
  • salvin francis
  • Claude Moore

Natural Language Processing in Action: NLP from an ML Engineer perspective  RSS feed

  • Likes 1
  • Mark post as helpful
  • send pies
  • Quote
  • Report post to moderator
Hi Hobson, Hannes, and Cole,

Congratulations on completing the Book and wish you good luck !!

Just reviewed the table of contents from  https://www.manning.com/books/natural-language-processing-in-action   .  It feels complete from a Datascientist/Model developer perspective .

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 ?

Suresh Sethuramaswamy
Gravity is a harsh mistress. But this tiny ad is pretty easy to deal with:
Create Edit Print & Convert PDF Using Free API with Java
  • Post Reply Bookmark Topic Watch Topic
  • New Topic
Boost this thread!