AI Club
AI Club
The Basics of
Data
The Basics of
Data
Columns
Rows
The Basics of Data
Columns
Rows
Sample
Each row is an Example for
the AI to Train with
Feature Label
The Basics of Data
Features Labels
Features can come in many types
(numbers, categories, text etc.)
Common real life examples take 100s
to 1000s of features!
Each dataset has
only one Label
column
Samples
Each row is an
Example for
the AI to Train
with
Number of
Countries Visited
Number of Years
in School
Height
(Feet)
Who am I?
20 15 5.2 Adult
2 3 3.5 Child
10 12 4.9 Adult
The basics
of AI
Training: Use data to
develop a ML model
Example: Use AI to Guess a Person’s Mood
Training: Use text data
describing feelings for happy or
sad. Develop a model.
Examples of
happy and sad
Example: Use AI to Guess a Person’s Mood
Training: Use text data
describing feelings for happy or
sad. Develop a model.
Examples of
happy and sad
Question ‘sentence’ This is called a feature
Answers ‘feeling’ This is called a label
AI Basics
AI Basics
Training : Use data to develop a ML model.
Model : A formula learned from the data
that can be used to predict new outcomes.
Inference/Prediction : Using the model
to answer new questions.
Training : Use data on feelings for happy or
sad. Develop a model
Model : Learn how to map feelings to
“Happy” or “Sad”
Inference/Prediction : Provide a new
feeling “example – I am feeling great!”.
Predict that this is “Happy”
Example: Use AI to Guess a Person’s Mood
What is an AI Service?
What is an AI Service?
• An AI Service is a program that
takes questions (new data) and
uses a model to create answers
(predictions)
What is an AI Service?
• An AI Service is a program that
takes questions (new data) and
uses a model to create answers
(predictions)
• An AI service connects with your
application
• Application sends questions
• AI service sends back
predictions/answers
Application uses the answers
What is an AI Service?
• An AI Service is a program that
takes questions (new data) and
uses a model to create answers
(predictions)
• An AI service connects with your
application
• Application sends questions
• AI service sends back
predictions/answers
Application uses the answers
THANK YOU
https://aiclub.world
info@pyxeda.ai

Basics of data

  • 1.
  • 2.
  • 3.
  • 4.
    The Basics ofData Columns Rows Sample Each row is an Example for the AI to Train with Feature Label
  • 5.
    The Basics ofData Features Labels Features can come in many types (numbers, categories, text etc.) Common real life examples take 100s to 1000s of features! Each dataset has only one Label column Samples Each row is an Example for the AI to Train with Number of Countries Visited Number of Years in School Height (Feet) Who am I? 20 15 5.2 Adult 2 3 3.5 Child 10 12 4.9 Adult
  • 6.
    The basics of AI Training:Use data to develop a ML model
  • 7.
    Example: Use AIto Guess a Person’s Mood Training: Use text data describing feelings for happy or sad. Develop a model. Examples of happy and sad
  • 8.
    Example: Use AIto Guess a Person’s Mood Training: Use text data describing feelings for happy or sad. Develop a model. Examples of happy and sad Question ‘sentence’ This is called a feature Answers ‘feeling’ This is called a label
  • 9.
  • 10.
    AI Basics Training :Use data to develop a ML model. Model : A formula learned from the data that can be used to predict new outcomes. Inference/Prediction : Using the model to answer new questions.
  • 11.
    Training : Usedata on feelings for happy or sad. Develop a model Model : Learn how to map feelings to “Happy” or “Sad” Inference/Prediction : Provide a new feeling “example – I am feeling great!”. Predict that this is “Happy” Example: Use AI to Guess a Person’s Mood
  • 12.
    What is anAI Service?
  • 13.
    What is anAI Service? • An AI Service is a program that takes questions (new data) and uses a model to create answers (predictions)
  • 14.
    What is anAI Service? • An AI Service is a program that takes questions (new data) and uses a model to create answers (predictions) • An AI service connects with your application • Application sends questions • AI service sends back predictions/answers Application uses the answers
  • 15.
    What is anAI Service? • An AI Service is a program that takes questions (new data) and uses a model to create answers (predictions) • An AI service connects with your application • Application sends questions • AI service sends back predictions/answers Application uses the answers
  • 16.