Machine Learning & Types of AI

What is Machine Learning?

• Programming all rules manually

• A subset of AI that learns from data

• A type of hardware device

• Software that runs only on cloud

Answer explanation

Machine Learning is a subset of Artificial Intelligence (AI) that enables systems to learn from data and improve their performance over time, rather than relying solely on manually programmed rules.

Which of the following is an example of Supervised Learning?

• Customer segmentation

• Stock price prediction

• Clustering of images

• Detecting anomalies

Answer explanation

Stock price prediction is an example of Supervised Learning because it uses labeled data (historical prices) to train a model to predict future prices, unlike customer segmentation or clustering, which are unsupervised methods.

Which learning technique uses rewards and punishments to learn?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Deep Learning

Answer explanation

Reinforcement Learning is a learning technique that uses rewards to encourage desired behaviors and punishments to discourage undesired ones, making it distinct from Supervised and Unsupervised Learning.

Which one of the following uses unlabeled data?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• NLP Systems

Answer explanation

Unsupervised Learning is the correct choice as it specifically deals with unlabeled data, allowing algorithms to identify patterns and structures without predefined labels, unlike Supervised Learning which requires labeled data.

Clustering is associated with:

• Supervised Learning

• Reactive AI

• Reinforcement Learning

• Unsupervised Learning

Answer explanation

Clustering is a technique used to group similar data points without prior labels, making it a key method in Unsupervised Learning. Unlike Supervised Learning, it does not rely on labeled outcomes.

Which AI system has no memory and works only with current input?

• Limited Memory AI

• Self-Aware AI

• Reactive AI

• General AI

Answer explanation

Reactive AI operates solely on current input without retaining past information, making it distinct from other AI types like Limited Memory AI, which uses historical data.

Which of these is the most advanced and currently hypothetical AI?

• General AI

• Self-Aware AI

• Limited Memory AI

• Reactive AI

Answer explanation

General AI, also known as Artificial General Intelligence (AGI), is the most advanced form of AI that can understand, learn, and apply intelligence across a wide range of tasks, making it currently hypothetical and not yet realized.

AlphaGo is an example of:

• Supervised Learning

• Theory of Mind AI

• Reinforcement Learning

• Unsupervised Learning

Answer explanation

AlphaGo uses Reinforcement Learning to improve its gameplay by learning from the outcomes of its actions, making it an example of this type of AI, rather than Supervised or Unsupervised Learning.

Tesla's self-driving technology uses:

• Reactive AI

• Limited Memory AI

• Self-Aware AI

• No AI

Answer explanation

Tesla's self-driving technology utilizes Limited Memory AI, which allows it to learn from past experiences and make decisions based on that data, unlike Reactive AI that only reacts to current inputs.

Which type of AI is most commonly found in daily-use applications like Siri or Alexa?

• General AI

• Reactive AI

• Limited Memory AI

• Self-Aware AI

Answer explanation

Limited Memory AI is used in applications like Siri and Alexa, as it can learn from past interactions to improve responses, unlike General AI, which is more advanced and not yet realized.