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README.md

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@@ -20,80 +20,93 @@ My assignments for CS50's Introduction to Artificial Intelligence with Python.
2020
<td><a href="./0-search/0a-degrees">Degrees</a></td>
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<td>Discover it how many "degress of separation" apart two actors are.</td>
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<td>Breadth First Search</td>
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<td><a href="https://www.youtube.com/watch?v=bwd0eSYMlmM&t=28s">🔗</a></td>
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<td>
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<a href="https://www.youtube.com/watch?v=bwd0eSYMlmM&t=28s">Video link</a>
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<a href="https://cs50.harvard.edu/ai/2020/projects/0/degrees/">Theory link</a>
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</td>
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</tr>
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<tr>
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<td><a href="./0-search/0b-tictactoe">Tic tac toe</a></td>
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<td>Play tic-tac-toe against an AI that plays optimally.</td>
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<td>Minimax Algorithm</td>
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<td><a href="https://www.youtube.com/watch?v=ukjCBsOTEFI">🔗</a></td>
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<td>
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<a href="https://www.youtube.com/watch?v=ukjCBsOTEFI">Video link</a>
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<a href="https://cs50.harvard.edu/ai/2020/projects/0/tictactoe/">Theory link</a>
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</td>
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</tr>
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<tr>
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<td rowspan=2>Knowledge</td>
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<td><a href="./1-knowledge/1a-knights">Knights</a></td>
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<td>A program to solve logic puzzles.</td>
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<td>Propositional Logic</td>
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<td><a href="https://www.youtube.com/watch?v=h_FmpQOj81M">🔗 Video link</a>
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<a href="https://www.youtube.com/watch?v=h_FmpQOj81M">Theory link</a></td>
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<td>
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<a href="https://www.youtube.com/watch?v=h_FmpQOj81M">Video link</a>
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<a href="https://cs50.harvard.edu/ai/2020/projects/1/knights/">Theory link</a>
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</td>
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</tr>
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<tr>
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<td><a href="./1-knowledge/1b-minesweeper">Minesweeper</a></td>
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<td>Play minesweeper or let the AI play for you.</td>
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<td>Propositional Logic</td>
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<td><a href="https://www.youtube.com/watch?v=Uz8VEFvfnOU">Video link</a></td>
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<td>
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<a href="https://www.youtube.com/watch?v=Uz8VEFvfnOU">Video link</a>
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<a href="https://cs50.harvard.edu/ai/2020/projects/1/minesweeper/">Theory link</a>
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</td>
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</tr>
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<tr>
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<td rowspan=2>Uncertainty</td>
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<td><a href="./2-uncertainty/2a-pagerank">Pagerank</a></td>
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<td></td>
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<td>PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is</td>
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<td>PageRank algorithm created by Google's CoFounders</td>
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<td><a href="www.google.com">🔗</a></td>
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<td>
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<a href="https://cs50.harvard.edu/ai/2020/projects/2/pagerank/">Theory link</a>
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</td>
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</tr>
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<tr>
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<td><a href="./2-uncertainty/2b-heredity">Heredity</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td><a href="https://cs50.harvard.edu/ai/2020/projects/2/heredity/">Theory link</a></td>
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</tr>
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<tr>
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<td rowspan=1>Optimization</td>
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<td><a href="./3-optimization/3a-crossword">Crossword</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td><a href="www.google.com">Theory link</a></td>
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</tr>
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<tr>
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<td rowspan=2>Learning</td>
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<td><a href="./4-learning/4a-shopping">Shopping</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td>Bayesian Network of genes is used by AI to infer the probability distribution for each person’s genes, as well as the probability distribution for whether any person will exhibit the trait in question</td>
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<td>Probability theory: Probability distribution and Joint Probability</td>
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<td><a href="www.google.com">Theory link</a></td>
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</tr>
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<tr>
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<td><a href="./4-learning/4b-nim">Nim</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td><a href="www.google.com">Theory link</a></td>
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</tr>
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<td rowspan=1>Neural Networks</td>
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<td><a href="./5-neural_networks/5a-traffic">Traffic</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td><a href="www.google.com">Theory link</a></td>
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</tr>
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<tr>
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<td rowspan=2>Language</td>
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<td><a href="./6-language/6a-parser">Parser</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td><a href="www.google.com">Theory link</a></td>
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</tr>
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<td><a href="./6-language/6b-questions">Questions</a></td>
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<td>XXX</td>
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<td>YYY</td>
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<td><a href="www.google.com">🔗</a></td>
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<td><a href="www.google.com">Theory link</a></td>
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</tr>
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</tbody>
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