Say What?!
Misc
Types of A.I
Machine Learning vs. Deep Learning
100

What is the first step in the Machine Learning Process?

The first step involves selecting an appropriate and accurate dataset.

100

What is A.I?

making computer based machines that think and act like humans.

100
What are the three types of A.I?

Artificial Narrow Intelligence, Artificial General Intelligence, and Artificial Super Intelligence.

100

What is machine learning?

the process of automating and enhancing how computers learn from their experiences without human help.

200

What factors should be considered when choosing a Machine Learning Model?  Name at least 3

  • Data size

  • Data quality

  • Data diversity

  • Results to be derived

  • Nature of the problem

  • Accuracy

  • Training time

  • Parameters

  • Data points

200

True or False: A.I is new concept that has just recently developed.

False

200

What is Artificial Narrow Intelligence (Weak A.I)?

Stage where machines can perform a specific task.

200

What is deep learning?

learning and improving on it's own by examining computer algorithms. 

300

Why is machine learning needed? We have data analysis that we can do.

Another crucial contribution of machine learning is how it can detect specific details that humans are unlikely to notice.

300

What are the Machine Learning Algorithms

Supervised

Unsupervised

300

What is Artificial General Intelligence?

To be able to comprehend or pick up any intellectual skill that a human can.
300

True or False: Are Deep Learning and Machine Learning the Same?

False

400

How is A.I used in Siri?

Siri is able to have conversation with the user and give a personalized response using A.I.

400

Clustering is an example of what type of Machine Learning?

Unsupervised Learning

400

What is Artificial Super Intelligence?

Stage where machines surpass human intelligence.

400

What can machine learning be used for?

Machine learning can be used in email spam detection, medical diagnosis, etc.

500

What is training the model? 

 the algorithm works on multiple optimization methods to learn how to predict results accurately. Over time, this process trains the algorithm to understand and improve the model too.

500

Why wasn't A.I able to develop until recently?

Artificial intelligence wasn't able to evolve because it demanded heavy computing power that we didn't have in the past.

500

Give one example of each of the three types of A.I.

Artificial Narrow Intelligence: Netflix, Siri, ChatBots, and facial recognition systems.

Artificial General Intelligence: IBM Watson's Super Computer and GPT3.

Artificial Super Intelligence: Space Exploration

500

What can deep learning be used for?

Deep learning can be used in facial recognition and speech recognition 

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