JGS594 Lecture 02

Software Engineering for Machine Learning
Introduction
(202201)

Transcript

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   SER 594
   Software Engineering for
   Machine Learning
   Lecture 02: Introduction
   Dr. Javier Gonzalez-Sanchez
   javiergs@asu.edu
   javiergs.engineering.asu.edu | javiergs.com
   PERALTA 230U
   Office Hours: By appointment
   

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   Key Ideas
   Machine Learning
   

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3. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 3
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   SER594 – Software Engineering for
   Machine Learning
   Definition
   

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4. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 4
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   Definition
   

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5. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 5
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   Definition
   

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6. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 6
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   Definition
   § AI is a bigger concept to create
   intelligent machines that can
   simulate human thinking
   capability and behavior, whereas
   § Machine learning is an
   application or subset of AI that
   allows machines to learn from
   data without being programmed
   explicitly.
   

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7. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 7
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   Machine Learning
   

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8. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 8
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   Supervised
   § Supervised learning uses labeled input and output data
   

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9. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 9
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   Unsupervised
   § Supervised learning uses input data.
   

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    Key Idea
    Models
    

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11. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 11
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    Model
    

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12. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 12
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    Model
    

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    Example
    Models
    

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14. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 14
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    Neural Networks
    

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15. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 15
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    Neural Network | Neuron
    input output
    

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16. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 16
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    Neural Network | Neuron
    X1
    X2
    X3
    x4
    

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17. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 17
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    Neural Network | Neuron
    X1
    X2
    X3
    x4
    • Sumar
    x1
    + x2
    + …
    

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18. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 18
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    Neural Network | Neuron
    X1
    X2
    X3
    x4
    • Normalizar
    

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19. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 19
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    Neural Network | Neuron
    X1=1
    X2=0.5
    X3=0.5
    X4=-1
    • Sumar
    • Normalizar
    0.73
    

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20. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 20
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    Neural Network
    X1
    X2
    X3
    X4
    W1
    W2
    W3
    W4
    sig (W1*X1 + W2*X2 + W3*X3 + W4*X4)
    • Sumar
    • Multiplicar
    • Normalizar
    

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21. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 21
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    Neural Network | Weights
    input output
    

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    To be Continued …
    

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23. Javier Gonzalez-Sanchez | SER 594 | Spring 2022 | 23
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    Questions
    

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    CSE 205 Object-Oriented Programming and Data Structures
    Javier Gonzalez-Sanchez, Ph.D.
    javiergs@asu.edu
    Spring 2022
    Copyright. These slides can only be used as study material for the class CSE205 at Arizona State University.
    They cannot be distributed or used for another purpose.
    

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