No-Code Machine Learning Using Amazon AWS SageMaker Canvas - What Is Machine Learning?

This video tutorial introduces AWS SageMaker Canvas and provides a foundational understanding of machine learning. It covers the basics of machine learning, its applications in daily life, and its use in major organizations like Google and Amazon. The tutorial explains the machine learning process, including data preparation, algorithm selection, model training, and continuous improvement. Finally, it transitions to exploring the AWS console and SageMaker Canvas.

What is machine learning primarily concerned with?

• Identifying patterns in past data to predict future outcomes

• Building hardware for data processing

• Designing user interfaces

• Creating new data from scratch

Which of the following is NOT a common application of machine learning?

• Running social media platforms

• Predicting weather patterns

• Optimizing search engine results

• Designing physical products

Which companies are known for using machine learning extensively?

• Google, Amazon, and Netflix

• Coca-Cola, Pepsi, and Nestle

• Ford, Toyota, and Honda

• Nike, Adidas, and Puma

What is the first step in the machine learning process?

• Generating scores

• Training the model

• Preparing the relevant data set

• Choosing the algorithm

How is the machine learning model improved over time?

• By reducing the data set size

• By adding more hardware

• By changing the programming language

• By revising the model with new data