CLASS8A

What is Machine Learning (ML)?

• A method to explicitly program computers

• A field that allows computers to learn from data and improve over time

• A technique to solve problems without using examples

• A tool for data storage and retrieval

Which of the following is an example of Machine Learning application?

• Sending emails

• Making phone calls

• Predicting stock prices

• Watching movies

Why is Python popular for Machine Learning?

• It has a complex syntax

• It lacks versatility

• It offers extensive libraries like Scikit-learn, TensorFlow, and PyTorch

• Its syntax is difficult to understand

What type of problem involves making informed guesses about future outcomes using historical data?

• Classification

• Regression

• Clustering

• Dimensionality reduction

What is Classification in Machine Learning?

• Predicting numerical values based on input data

• Grouping similar data points together

• Predicting categories or classes for new observations

• Finding hidden patterns or structures within data

Which type of learning uses labeled data with known outcomes to train the model?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Semi-supervised Learning

What are common applications of Supervised Learning?

• Clustering and Dimensionality Reduction

• Image Recognition and Sentiment Analysis

• Customer Segmentation and Anomaly Detection

• Spam Detection and Predicting House Prices

In Unsupervised Learning, what do we look for?

• Hidden patterns or structures within data

• Labeled outcomes for training the model

• Predictions based on input data

• Historical data for making informed guesses

What is a popular Python library for building and deploying machine learning models?

• Java

• R

• Scikit-learn

• C++

Which type of learning involves trial and error by interacting with an environment?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Semi-supervised Learning