Which ensemble learning techniques combines multiple decision tress to improve predictive performance?

• K-nearest neighbours

• Support vector machines

• Random forest

• Logistic regression

K- means clustering is a which type of machine learning algorithm?

• Semi-supervised Machine learning

• Unsupervised Machine learning

• Supervised Machine learning

• Reinforcement Machine learning

Which of the following is a supervised learning task?

• Clustering

• Dimensionality Reduction

• • Regression

• • Association

Regularization techniques are primarily used to prevent:

• Underfitting

• Overfitting

• Bias

• Variance

Dropout is a regularization technique used to prevent overfitting in neural networks.True or False?

• TRUE

• FALSE

Which type of LLM is OpenAI’s GPT series an example of?

• Autoencoding Language Models

• Autoregressive Language Models

• Combination of both

• None of the above

What is "Deep Learning" primarily concerned with?

• Shallow and simple models

• Neural networks with many layers

• Quick learning algorithms

• Deep sea data exploration

What is "Big Data" typically characterized by?

• The 3 Vs: Volume, Velocity, and Variety

• Its storage in small, traditional databases

• Data that is too small to be useful

• Data about big things

Who is known as the inventor of AI?

• a. Charles Babbage

• b. John McCarthy

• c. Alan Turing

• d. Andrew Ng

What is difference between correlation and causation

• Correlation implies causation

• Causation imples correlation

• They are the same thing

• No difference