Dell D-ISM-FN-02 Exam - Topic 2 Question 2 Discussion

Collecting the datasets is the first step in any machine learning (ML) process. Without data, the ML system cannot function. Steps include:

1 Collecting datasets: Gathering data relevant to the problem to train and validate the ML model.

2 Analyzing data: Cleaning and exploring data for patterns.

3 Selecting learning type: Deciding between supervised, unsupervised, or reinforcement learning.

4 Training the model: Using the data to build predictive models.