Exam Professional Machine Learning Engineer topic 1 question 44 discussion

Should be B -> minimize data preprocessing and development time

I'm leaning towards C over B here. The question is underlining that minimal development time is required, and C is even less than B. If the information is really domain specific, then you'd need B, but it's not clear what products the company sells, so we don't have enough info to say it's too domain specific for C.

This is direct question from this doc: https://medium.com/@pysquad/ai-infused-empowerment-harnessing-business-potential-with-google-clouds-nlp-api-in-python-b4fcb9fea1a3. "Automated Ticket Classification: Categorize and prioritize support tickets for efficient handling."

I think it's C. Natural Language API supports entity extraction, is pre-trained and comes off as a SaaS that you just pay per use. Considering you have already used STT on your data, I see no reason to use AutoML in this case.

Cloud NLP API no require custom training

C) Cloud NLP API

I'm voting C here!

AutoML only has classification and regression

Key Differences: Approach: Option B (AutoML Natural Language) involves using an AutoML service to train a custom NLP model, while Option C (Cloud Natural Language API) relies on a pre-built NLP API. Control and Customization: Option B gives you more control and customization over the training process, as you train a model specific to your needs. Option C offers less control but is quicker to set up since it uses a pre-built API. Complexity: Option B might require more technical expertise to set up and configure the AutoML model, while Option C is more straightforward and user-friendly. In summary, both options allow you to extract custom entities for classification, but Option B (AutoML) involves more manual involvement in training a custom model, while Option C (Cloud Natural Language API) provides a simpler, pre-built solution

Went with B

why not C?

AutoML is appropriate to classify incoming calls by product (Custom) to be routed to the correct support team. Cloud Natural Language API is for general case (not particular business)

"minimize data preprocessing and development time" answer will be limited to B,C will choose C as Natural Language API does not handle custom operation

B- automl custom classification and entity is going to help with minimum effort.

AutoML Natural Language - custom entities, with least development time

Should be B Basic classification, entity extraction, and sentiment analysis are available through the Cloud Natural Language API. AutoML Natural Language enables you to define custom classification categories, entities, and sentiment scores that are relevant to your application.