Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise

The video tutorial introduces the concept of running average, also known as moving average. It explains the equivalence between the two terms and delves into a detailed exploration of running averages. The tutorial further explores the relationship between running averages and sequence modeling, encouraging learners to understand these concepts independently and identify their interconnections.

What is another name for the running average?

• Fixed average

• Static average

• Moving average

• Cumulative average

What is the first step in understanding running averages?

• Understand its definition and concept.

• Apply it to real-world data.

• Use it in machine learning models.

• Learn about sequence modeling.

Why is it important to understand the concept of running average?

• It helps in understanding static data.

• It is crucial for sequence modeling.

• It is used only in financial analysis.

• It simplifies complex algorithms.

How is running average related to sequence modeling?

• It is only used in time series analysis.

• It replaces sequence modeling.

• It provides a basis for understanding sequence patterns.

• It is unrelated to sequence modeling.

What should you do after understanding the running average?

• Explore its relationship with sequence modeling.

• Apply it to static data sets.

• Ignore its applications.

• Use it only for financial predictions.