Which of the following models are susceptible to a feedback loop? Check all that apply

A traffic-forecasting model that predicts congestion at highway exits near the beach, using beach crowd size as one of its features.

Correct! Some beachgoers are likely to base their plans on the traffic forecast. If there is a large beach crowd and traffic is forecast to be heavy, many people may make alternative plans. This may depress beach turnout, resulting in a lighter traffic forecast, which then may increase attendance, and the cycle repeats.

A university-ranking model that rates schools in part by their selectivity (the percentage of students who applied that were admitted).

Correct! The model’s rankings may drive additional interest to top-rated schools, increasing the number of applications they receive. If these schools continue to admit the same number of students, selectivity will increase (the percentage of students admitted will go down). This will boost these schools’ rankings, which will further increase prospective student interest, and so on…

A book-recommendation model that suggests novels its users may like based on their popularity (i.e., the number of times the books have been purchased).

Correct! Book recommendations are likely to drive purchases, and these additional sales will be fed back into the model as input, making it more likely to recommend these same books in the future.

A face-attributes model that detects whether a person is smiling in a photo, which is regularly trained on a database of stock photography that is automatically updated monthly.

A housing-value model that predicts house prices, using size (area in square meters), number of bedrooms, and geographic location as features.

An election-results model that forecasts the winner of a mayoral race by surveying 2% of voters after the polls have closed.

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A new concept that occurs within a short time

A new concept that rapidly replaces an old one over a short period of time

An old concept that incrementally changes to a new concept over a period of time

An old concept that may reoccur after some time

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Losses in prediction quality

Change in model serving signature

Change in ability of model to be part of a streaming ingest

Correct! For example, a review might be easier to write, and so your prediction of whether someone will leave a review (whether good or bad) is too low because it was trained on reviews that resulted from the older, harder-to-use user interface

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Data ingestion

Data transform

Data validation

Data identifier

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Question 3

What is training skew caused by?

1 / 1 point

Your development and production environments are different, or different code is used in the training environment than in the development environment.

The prediction environment is slower than the training environment.

The Cloud Storage you load your data from in the training environment is physically closer than the Cloud Storage you load your data from in the production environment.

Starting and stopping of the processing when training the model.

Correct! Different versions may cause predictions to be significantly slower or consume more memory in the training environment than in the development environment. Different code may result in different performance.

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Modular programs

Maven, Gradle, and Pip

Monolithic programs

Polylithic programs

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Data drift

Concept drift

Prediction drift

Label drift

Home » Production Machine Learning Systems » Which of the following models are susceptible to a feedback loop? Check all that apply

Which of the following models are susceptible to a feedback loop? Check all that apply

Designing adaptable ML systems>>> Which of the following models are susceptible to a feedback loop? Check all that apply >>> Production Machine Learning Systems

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If each of your examples is large in terms of size and requires parsing and your model is relatively simple and shallow your model is likely to be

What percent of system code does the ML model account for

Which of these are reasons that you may not be able to perform machine learning solely on Google Cloud Check all that apply