You are working with your machine learning algorithm on something called class predictor probability. What algorithm are you most likely using?

What is one of the most effective way to correct for underfitting your model to the data?

Your data science team is often criticized for creating reports that are boring or too obvious. What could you do to help improve the team?

What is the difference between unstructured and structured data?

You work for a startup that is trying to develop a software tool that will scan the internet for pictures of people using specific tools. The chief executive is very interested in using machine learning algorithms. What would you recommend as the best place to start?

In supervised machine learning, data scientist often have the challenge of balancing between underfitting or overfitting their data model. They often have to adjust the training set to make better predictions. What is this balance called?

Verification uses gray-box testing method.

Which machine learning tool with application programming interface for C?

Simulation is appropriate under which of the following conditions?

Which options is a Python library that allows the user to def‌ine, optimize, and evaluate the mathematical expressions, especially the ones with multi-dimensional arrays?

Which methods attempts to fit the new predictor to the residual errors that has been made by the previous predictor?