Week1 Quiz

What does this image illustrate?

• Decision Tree

• Reinforcement Learning

• Random Forest

• Clustering

Which choice is best for binary classification?

• K-means

• Linear Regression

• Logistic Regression

• K-means

Which of the following is a common technique for text preprocessing that reduces words to their base form?

• Tokenization

• Stopword Removal

• Lemmatization

• Stemming

What is the purpose of stopwords removal in text preprocessing?

• To reduce the size of the text dataset

• To extract keywords from the text

• To eliminate offensive language

• To remove words that don't contribute much to the text's meaning

Which deep learning architecture is commonly used for image recognition tasks?

• Recurrent Neural Network (RNN)

• Convolutional Neural Network (CNN)

• Long Short-Term Memory (LSTM)

• Generative Adversarial Network (GAN)

An organization that owns dozens of shopping malls want to create a machine learning product that will use facial recognition to identify customers. What is one of the main challenges with developing such a product?

• The images in the video would not be high-quality enough to identify individuals.

• It would be difficult to decide between supervised and unsupervised learning.

• It might be unethical for the business to identify people without their consent.

• Most machine learning algorithms are not designed for video.

In 2013, Google´s DeepMind project created a machine learning algorithm that could play an old-style Atari video game, Pong. The algorithm taught the machine how to play by creating a series of rewards. Each time the machine successfully returned the ball, the machine got a reward; each time the opponent missed the ball, the machine got a reward. How would you describe this type of machine learning algorithm?

• big data machine learning.

• Good Old-Fashioned Artificial Intelligence (GOFAI).

• reinforcement learning.

• supervised learning.

What is the final output at o5? (The first digit after the decimal only)

• 0.5

• 0.6

• 0.7

• 0.8