2. Machine Learning: Teaching Computers to Learn

According to the essay, what is the fundamental difference between traditional programming and Machine Learning?
1. Traditional programming is faster, while Machine Learning is more accurate.
2. Traditional programming uses data, while Machine Learning uses rules.
3. Traditional programming relies on explicit rules, while Machine Learning learns from data.
4. Traditional programming is for simple tasks, while Machine Learning is for complex tasks.
In the "cat recognition" example, how does the machine learn to identify a cat?
1. By being programmed with a specific set of rules like "pointy ears and whiskers."
2. By developing its own internal model of key features after viewing many pictures.
3. By being connected to a database of all known cat pictures.
4. By having a human operator point out the cats in each new picture.
The essay describes a system that groups similar customers together without being given categories. This is an example of:
1. Supervised Learning.
2. Unsupervised Learning.
3. Artificial Intelligence.
4. Data Programming.
Which of the following is NOT mentioned in the essay as an application of Machine Learning?
1. Filtering spam emails.
2. Recommending movies on a streaming service.
3. Understanding spoken commands for a voice assistant.
4. Driving a fully autonomous car.
What key advantage of Machine Learning does the essay suggest drives progress in Artificial Intelligence?
1. It is less expensive than human labor.
2. It can improve its own performance as it gets more data.
3. It can operate without using any electricity.
4. It is completely unbiased in its decisions.