Understanding Algorithms and Machine Learning

The video explains the role of algorithms in everyday life, their history, and how they are programmed. It covers sorting algorithms, particularly QuickSort, and introduces machine learning, highlighting its applications and potential biases. The video concludes by discussing the societal impact of algorithms and the importance of understanding their influence.

What determines whether an email goes to the spam folder or the inbox?

• The sender's email address

• An algorithm

• The time the email was sent

• The email's subject line

Tags

CCSS.RI.11-12.5

CCSS.RI.7.3

CCSS.RI.8.5

CCSS.RI.9-10.3

CCSS.RI.9-10.5

From where does the term 'algorithm' originate?

• A Greek philosopher

• A Roman mathematician

• A Persian scholar

• An Egyptian scientist

What was the initial method of programming computers?

• Using punch cards

• Changing cables for each operation

• Typing commands on a keyboard

• Using magnetic tapes

What is the main problem with the basic method of sorting books described in the video?

• It can only sort numbers

• It needs special equipment

• It takes too long to complete

• It requires too many books

Which sorting algorithm is described as very efficient and widely used?

• Bubble Sort

• Merge Sort

• QuickSort

• Insertion Sort

What is machine learning?

• A way for computers to learn from data and make predictions

• A method to sort data

• A type of computer hardware

• A programming language

How do machines learn about your preferences on YouTube?

• By reading your comments

• By checking your subscription list

• By tracking your video interactions

• By analyzing your search history

What is a potential negative effect of algorithms showing us only content we like?

• It can reduce the number of available videos

• It can create a biased view of reality

• It can slow down the internet

• It can increase data storage costs

What can cause algorithms to have biases?

• Frequent updates

• High processing power

• Too much data

• Incomplete or biased training data

Why is it important to understand how algorithms are programmed?

• To reduce their cost

• To correct biases and ensure fairness

• To improve their speed

• To make them more user-friendly