Machine Learning is a subset of Artificial Intelligence which allows a machine to make__________ by learning from experiences.

machine learns from examples or experiences. We need to provide training data with correct outcomes (e.g. types of animals) for the machine to ______. After learning from the training data, a predictive model is generated for the machine to make future predictions.

We use the term Big Data to describe ____________collected. In short, the Big Data is a larger, more complex data set, especially one from a new data source. The data set is so large that traditional data processing software cannot manage it.

Deep Learning is a Machine Learning algorithm that simulates the learning method of our brain. It is a complicated algorithm based on artificial neural

networks. In the right figure below, each circle/node represents an ___________ which simulates a biological neuron in our brain.

In training an Artificial Intelligence system, we need to provide a data set with sufficiently large amount of photos, speeches, or texts, etc. for the system to ______.

Like other technologies, the development of Artificial Intelligence can have good and bad impacts on us or our society. Good impacts often involve improvements in automation, efficiency, and accuracy. On the other hand, Artificial Intelligence can sometimes lead to issues related to ethics and ____.