Design Thinking 4

Question 1

A predictive model

Answer 1

A predictive model tries to yield yes/no, or stop/go type outcomes. These models are based on the analytic approach that was taken, either statistically driven or machine learning driven.

Question 1

Data Modeling focuses on developing models that are either

Answer 1

descriptive or predictive.

Question 2

modeling approach

Answer 2

The data scientist will use a training set for predictive modelling. A training set is a set of historical data in which the outcomes are already known. The training set acts like a gauge to determine if the model needs to be calibrated. In this stage, the data scientist will play around with different algorithms to ensure that the variables in play are actually required.

Question 3

________are necessary within each step to ensure the outcome is one that is solid.

Answer 3

Constant refinement, adjustments and tweaking

Question 4

The framework is geared to do 3 things:
for modeling approach

Answer 4

First, understand the question at hand.
Second, select an analytic approach or method to solve the problem.
Third, obtain, understand, prepare, and model the data.

Question 5

what is the importance of pattern in problem solving

Answer 5

• The premise that underlies all ML disciplines is that there needs to be a pattern.
  if there is no pattern, then the problem cannot be solved with AI technology.
• it is fundamental that this question is asked before deciding to embark on an AI developmental journey.