Machine Learning is is a subfield of Artificial Neural Networks.

• TRUE

• FALSE

Which of the following belong to Machine Learning?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Knowledge Graph

When shall we use machine learning to solve a given real world problem?

• When the problem changes over time

• When we can't explain human expertise in the form of programming logic

• When humans lack of expertise and need to rely on historical data

• When Google, Microsoft and Amazon are betting on Machine Learning as the next big thing

Deep Learning is a subfield of Machine Learning.

• TRUE

• FALSE

Why did deep learning take off only in the most recent decade?

• Big data - Having more data due to the digitization of data

• The advancement and affordability of digital storage

• The rise of computing power (specialized processors such as graphics processing units or GPUs)

• Because Geoffrey Hinton, Yoshua Bengio and Yann LeCun only started researching into Deep Learning in recent years

Traditional software in the form of Rule-based system uses handcrafted programming logic as knowledge representation.

• TRUE

• FALSE

Unsupervised learning looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision.

• TRUE

• FALSE

Which of the following are TRUE about Supervised Learning?

• Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.

• Supervised learning algorithms are trained using labeled data.

• In Supervised Learning, we normally have two sets of problems, Classification and Regression.

• Supervised learning requires minimum human annotated data

Reinforcement Learning models learn by a continuous process of receiving rewards and punishments on every action taken.

• TRUE

• FALSE

As opposed to Supervised Learning, Unsupervised Learning and Reinforcement Learning do not rely on human annotated data (data labeled by human).

• TRUE

• FALSE