Artificial Intelligence

Which is not one of the three types of deep learning?

• Artificial Network Architecture (ANN) – a computational model that consists of several processing elements that receives inputs and deliver outputs based on their predefined activation functions.

• Unsupervised/Clustering – You have past data that is not labeled, and you do not know the outcome. For example, based on the similarity of the data, it will try to group them into categories.

• Convolutional Neural Network (CNN) - a type of artificial neural network, which is widely used for image/object recognition and classification.

• 3.A recurrent neural network (RNN) - a type of artificial neural network commonly used in speech recognition

         and natural language processing. Recurrent neural networks recognize data's sequential characteristics and

         use patterns to predict the next likely scenario.

What is machine learning?

• Ability of a computer program to understand human language as it is spoken and written. 

• a computational model that consists of several processing elements that receives inputs and deliver outputs based on their predefined activation functions.

• Provides us with statistical tools to explore and analyze the data.

• It uses both the machine and deep learning and applies mathematical tools to have a more

  precise outcome.

What is artificial intelligence?

• Enables the computer

  or machine to think on its

  own by mimicking the brain.

• A programmable electronic device that accepts raw data as input and processes it with a set of instructions (a program).

• A set of instructions, data or programs used to operate computers and execute specific tasks.

• A computer's physical devices or delivery systems that store and run the written instructions provided by the software.

What is data science?

• Uses multi-neural network architecture.

• Consists of observing the world by watching, listening, observing, and recording.

• It uses both the machine and deep learning and applies mathematical tools to have a more

  precise outcome.

• The study of quality, structure, space, and change.

When did Artificial Intelligence come into existence?

• 1950's - 1970's

• 1920's - 1940's

• 2000 - 2020

• 1980's - 2000

When was the first robot built?

• 2021

• 1928

• 1956

• 1983

What did AI take so long to catch on?

• AI cannot help or make our lives easier.

• Only certain countries wanted AI.

• Humans are not intelligent enough to develop AI.

• We didn’t have computers to hold a lot of data. You need a lot of data to be able to analyze

  the data to make AI successful.

What is the natural language processing model?

• Past data that is not labeled, and you do not know the outcome. For example, based on the similarity of the data, it will try to group them into categories.

• Some parts of the past data will be labeled and the other parts of the

         data will not be labeled.

• Ability of a computer program to understand human language as it is spoken and written to perform repetitive tasks.

• Past data is collected, labeled, and outcome is known. For example, weight, body mass, and height of individuals.

Which is not one of the advantages of AI?

• Solves complex problems.

• Minimizes errors.

• Processes decisions that normally require human input.

• Understands emotions which is a key aspect in sales and marketing.

Which is not a subset of Artificial Intelligence?

• Machine Learning

• Deep Learning

• Data Science

• Marketing Automation