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The Applied Artificial Intelligence Workshop

You're reading from   The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800205819
Length 420 pages
Edition 1st Edition
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Authors (3):
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Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Zsolt Nagy Zsolt Nagy
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Zsolt Nagy
William So William So
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William So
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Toc

Table of Contents (8) Chapters Close

Preface
1. Introduction to Artificial Intelligence 2. An Introduction to Regression FREE CHAPTER 3. An Introduction to Classification 4. An Introduction to Decision Trees 5. Artificial Intelligence: Clustering 6. Neural Networks and Deep Learning Appendix

1. Introduction to Artificial Intelligence

Activity 1.01: Generating All Possible Sequences of Steps in a Tic-Tac-Toe Game

Solution:

The following steps will help you to complete this activity:

  1. Open a new Jupyter Notebook file.
  2. Reuse the function codes of Steps 2–9 from the previous, Exercise 1.02, Creating an AI with Random Behavior for the Tic-Tac-Toe Game.
  3. Create a function that maps the all_moves_from_board_list function to each element of a list of boards. This way, we will have all of the nodes of a decision tree in each depth:
    def all_moves_from_board_list(board_list, sign):
        move_list = []
        for board in board_list:
            move_list.extend(all_moves_from_board(board, sign))
        return move_list

    In the preceding code snippet, we have defined the all_moves_from_board function, which will enumerate all the possible moves from the board and add the...

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