Quiz-4

What is the goal of reinforcement learning?

• Maximizing future rewards

• Minimizing actions

• Reducing memory consumption

• Increasing processing speed

In reinforcement learning, the environment provides feedback in the form of:

• Loss functions

• Rewards

• Labels

• Gradients

The agent in reinforcement learning improves by:

• Adjusting the learning rate

• Repeating its actions

• Maximizing the cumulative reward

• Minimizing errors

Which method is most commonly used for balancing exploration and exploitation in RL?

• Dropout

• Adam Optimizer

• Q-learning

• Epsilon-greedy

Which of the following is an example of a reinforcement learning algorithm?

• Linear Regression

• Q-learning

• Naive Bayes

• k-NN

Which of the following tasks is associated with Natural Language Processing (NLP)?

• Image recognition

• Speech generation

• Object detection

• Data sorting

Which algorithm is used for machine translation in NLP?

• Convolutional Neural Networks

• Hidden Markov Models

• Recurrent Neural Networks

• Random Forest

In NLP, a technique used for understanding the meaning of words in context is called:

• Bag of Words

• Stemming

• Word Embedding

• Term Frequency

In robotics, which of the following is responsible for the movement of robot limbs?

• Sensors

• Actuators

• Algorithms

• Cameras

The Internet of Things (IoT) refers to:

• The use of the internet for sending messages

• A network of connected physical objects

• Cloud computing infrastructure

• Software-only systems