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Commits on Mar 2, 2017

• Fixed genetic_algorithm() population iterator (#296)

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  yrevar

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  reachtarunhere

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• Typo in bold formatting. (#298)

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  sampadsaha5

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  reachtarunhere

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• added six to pip installs (#297)

  reachtarunhere

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• Update README.md

  norvig

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• Update README.md

  norvig

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Commits on Mar 1, 2017

• Used learning_rate in gradient update for w (#284)

  

  TheSPARTA

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  norvig

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Commits on Jan 23, 2017

• Import turn_heading from grids.py since it is used in agents.py (#281)

  

  orsenthil

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  reachtarunhere

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Commits on Jan 16, 2017

• Adding HITS algorithm to completed table (#277)

  

  Jonathon Belotti

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  ctjoreilly

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Commits on Sep 27, 2016

• Added implementation of the cake problem, tests for cake and three towers problem (#265)

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  opensourceware

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  norvig

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Commits on Sep 22, 2016

• Added implementation of Three Block Tower (#263)

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  Rahul Patel

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  norvig

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Commits on Sep 14, 2016

• Added test in test_planning.py (#261)

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  Rahul Patel

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Commits on Sep 7, 2016

• Implementing HITS algorithm (#244)

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  Jonathon Belotti

  authored and

  norvig

  committed
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• Planning (#253)

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  opensourceware

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  norvig

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• Added Default Parameter to Support Smoothing (#246)

  

  reachtarunhere

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  norvig

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Commits on Aug 29, 2016

• adds SVM classifier on MNIST in SkLearn

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Commits on Aug 25, 2016

• Edited a link in CONTRIBUTING.md (#249)

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  Rahul Patel

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  ctjoreilly

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Commits on Aug 11, 2016

• updates contents table and modifies notebook accordingly

  SnShine

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Commits on Aug 6, 2016

• Shorthand for True False

  reachtarunhere

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• Updated normalize to support dict

  reachtarunhere

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Commits on Aug 2, 2016

• adds contents table in learning notebook

  SnShine

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• modifies gramatical errors in learning notebook

  SnShine

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Commits on Jul 31, 2016

• Update probability-4e.ipynb

  norvig

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• Rename Probability-4e.ipynb to probability-4e.ipynb

  norvig

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Commits on Jul 26, 2016

• Update README.md

  norvig

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Commits on Jul 16, 2016

• adds aima logo as repo's logo and links to aima berkely website

  SnShine

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• adds aima3e image to readme (#245)

  SnShine

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• implements faster kNN in NumPy in learning notebook

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Commits on Jul 15, 2016

• impleemnts kNN classifier of learning module on MNIST data

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• adds method to calculate manhattan (L1) distance

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• runs check_example only if values are provided while initialising DataSet

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• removes checking truth value of an array with more than one element

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• adds visuals og average images from MNIST dataset

  SnShine

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Commits on Jul 13, 2016

• adds visualisations of MNIST handwritten digits

  SnShine

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• adds method to load MNIST data in learning notebook

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• Added Section on Approximate Inference

  reachtarunhere

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