BGE - Machine learning and bias

Why is high-quality data crucial for machine learning?

• It helps in making the algorithm run faster.

• It makes the programming process easier.

• It ensures the machine can learn from a wide variety of examples.

• It reduces the cost of computing.

How do video streaming services use your viewing data?

• To improve video quality.

• To track your location.

• To recommend videos you might like.

• To increase subscription fees.

What is a direct way people provide training data to machines?

• By browsing the internet.

• By identifying objects in images.

• By participating in surveys.

• By watching videos online.

Why do medical researchers use images as training data?

• To improve camera technology.

• To store patient records.

• To create digital art.

• To teach computers to recognize diseases.

What can cause bias in machine learning models?

• Limiting data collection to a specific group.

• Collecting data from diverse sources.

• Using high-quality data.

• Increasing the quantity of data.

How can human bias enter the machine learning process?

• By employing more data scientists.

• During the data feeding process.

• By using advanced algorithms.

• Through unbiased data collection.

What questions should you ask when evaluating training data for machine learning?

• Is the data expensive and how fast can the machine learn?

• Can the data be easily stored and accessed?

• Is there enough data and does it cover all scenarios without bias?

• How old is the data and who collected it?

Why is it crucial to collect data from many sources?

• To avoid biased predictions.

• To make the data set more complex.

• To ensure the machine learns faster.

• To reduce the overall cost.

What does it mean when it's said 'the data is the code' in machine learning?

• The data replaces traditional programming languages.

• Data scientists do not need to write code anymore.

• The algorithm is less important than the data.

• Training data directly influences the algorithm's behavior.

What role do humans play in the machine learning process?

• They ensure the machine is provided with diverse and unbiased data.

• They monitor the machine's learning process without intervening.

• They only need to provide the initial data set.

• Their role is limited to designing algorithms.