The general procedure is as follows: Shuffle the dataset randomly. Split the dataset into k groups For each unique group: Take the group as a hold out or test data set Take the remaining groups as a training data set Fit a model on the training set and evaluate it on the test set Retain the evaluation score and discard the model Summarize the skill of the model using the sample of model evaluation scores

If your independent variable has more than two values

my effective allocation of tasks

I learned to pay close attention to the details so as to be sure to give accurate information in the future

Question #5 - Can you describe an instance where your supervisor or manager just gave you too much work with not enough time? What did you do?

I was the first in-house designer they’d hired, and they weren’t 100% sure what was a lot of work, and what wasn’t. We ended up working together to better define my responsibilities.

I decided that being direct, and also respectful was the best approach, and booked the meeting.

This means we do not have sufficient evidence to say that the mean weight of turtles between the two populations are different.

ADHD diagnosis may involve brain scans that measure brain activity and blood flow

deep learning is considered an evolution of machine learning. It uses a programmable neural network that enables machines to make accurate decisions without help from humans.

Machine learning definition: An application of artificial intelligence that includes algorithms that parse data, learn from that data, and then apply what they’ve learned to make informed decisions.

Deep learning definition: A subfield of machine learning that structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.

instead, kernel functions compute the inner products between the images of all pairs of data in a feature space

Bayes’ Theorem gives you the posterior probability of an event given what is known as prior knowledge.

The ROC curve is a graphical representation of the contrast between true positive rates and the false positive rate at various thresholds.