5.3 – Content Evaluation #1

What differentiates the input data in a Supervised rather than an Unsupervised soft-computing algorithm?

Nominal data describes a variable with categories that do not have a natural order or ranking

Which Machine Learning technique is best suited to identify different facies or rock types?

Data is NOT usually classified into one of these four different levels of measurement:

Which Neural Network is best for image processing?

A Random Forest is an example of an Ensemble soft-computing modeling technique:

Multiple independent variables that impact the outcome of a singularity are known as

What does seMma stand for in the repeatable/scalable process?

Which Tukey diagram would you use to visualize the outliers and generate distribution values for a variable?

Primarily, how many numeric variables are visually explored in a Scatter Plot?

Which clustering technique requires estimating a value defining an optimum number of clusters before execution?

When should a Normalization technique be applied?

Why apply data augmentation before analysis?

Imbalanced data poses problems for ML algorithms owing to underrepresented classes; name ONE technique to address this problem:

Feature Engineering derives new variables from enriching an analytical dataset.

Determine the optimal number of clusters for an upstream analysis by applying the following technique(s)

K-Nearest Neighbor is a segmentation technique that requires a ‘k’ value. Which statements are True?

What does the diagonal of a confusion matrix represent?

The first hidden layer in a CNN architecture classifies what aspect of the images:

Which Deep Learning algorithm is trained by an interpreter to recognize patterns in seismic subsurface profiles?