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Inspired by Dr Norvig's pytudes, we can include notebooks exploring popular problems from computer science(for eg: The Traveling salesman problem).INTERNET CONNECTION, ORIGIN ACCOUNT, ACCEPTANCE OF PRODUCT AND ORIGIN END USER LICENSE AGREEMENTS (EULAS), INSTALLATION OF THE ORIGIN CLIENT SOFTWARE (AND REGISTRATION WITH ENCLOSED SINGLE-USE SERIAL CODE REQUIRED TO PLAY AND ACCESS ONLINE FEATURES AND BONUS CONTENT (IF ANY). These algorithms can be parameterised so as to use the cross validation wrapper. At present, the learning algorithms are not parameterised. Geometric random variables, poisson random variables and binomial random variables will also be a great addition. Along with continuous RVs, some popular probabilistic distributtions such as the normal distribution must be added. The APIs for probabilistic inference do not support Continous Random Variables.
This is necessary for solving some problems that involve measurements along with logic. Another way is to use a java High Order Logic kernel. This technique however will render many problems intractable. One way to do this is to include Peano's axioms as default axioms to the FOL inference procedures and then derive the entire number system from them. This parser must be extended to recognise them.
The parser used for First Order Logic does not recognise natural numbers as well as binary operators. Such topics must be covered in the notebooks. There are a few sections from the book( for eg: Dimensionality Reduction or Ontological Engineering) where the authors have explained the concept without providing a formal algorithm. The general approach to any notebook is as follows: Only a few chapters have been implemented in the form of notebooks. There is tremendous scope of work in the project. For the final report of my GSoC project, see this post. This issue highlights the work that can be done in the future. Mention to discuss what can go in that particular notebook. Mention a topics list of what you will be implementing in the notebook for that particular chapter. Check that the issue is not assigned to anyone. Open a new issue with the following heading: **Notebook: Chapter Name - Version **. Such topics must be covered in the notebooksīefore starting to work on a new notebook: Apply algorithms on various problems related to the domain. Solve the same problem using already implemented APIs from the code and compare the merits of using the APIs from the repository if such APIs exist. For eg: extend the Problem class to implement some custom problem. Explain the API by implementing the interfaces for some custom approach to the explained ideas.
Explain briefly the ideas from the book.
This is the discussion issue for Example Notebooks project.