Question

A data scientist is writing a Machine Learning (ML) algorithm using a large data set.

Answer 1

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Machine-learning algorithms process large datasets to develop a data-driven model. Feature ranking helps us understand the inherent decision making process of a data-driven model and helps in evaluating the consistency of a data-driven model by making the model easy to interpret.

Answer 2

Answer:

A data scientist is writing a Machine Learning (ML) algorithm using a large data set to produce a model.

Explanation:

• A data scientist is writing a machine learning algorithm using a large data set and when the data is compiled it produces a model.

• A Bayesian network is a probabilistic model for representing knowledge about an uncertain domain where each node corresponds to a random variable and each edge represents the conditional probability for the corresponding random variables.

• Neural networks also known as artificial neural networks are a subset of machine learning and are at the heart of deep learning algorithms.

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