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  2. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...

  3. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge; Ambari: makes Hadoop cluster provisioning, managing, and monitoring dead simple; Ant: Java-based build tool

  4. The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [ 8 ] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of Scheme as an introductory language for a computer science course. [ 9 ]

  5. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    Animated example of a depth-first search For the following graph: a depth-first search starting at the node A, assuming that the left edges in the shown graph are chosen before right edges, and assuming the search remembers previously visited nodes and will not repeat them (since this is a small graph), will visit the nodes in the following ...

  6. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Python Package Index (formerly the Python Cheese Shop) is the official directory of Python software libraries and modules; Useful Modules in the Python.org wiki; Organizations Using Python – a list of projects that make use of Python; Python.org editors – Multi-platform table of various Python editors

  7. Specification by example - Wikipedia

    en.wikipedia.org/wiki/Specification_by_example

    The earliest documented usage of realistic examples as a single source of truth, requirements and automated tests, on software projects is the WyCash+ project, described by Ward Cunningham in the paper A Pattern Language of Competitive Development [7] [8] in 1996. The name Specification by Example was coined by Martin Fowler in 2004. [9]

  8. Test-driven development - Wikipedia

    en.wikipedia.org/wiki/Test-driven_development

    This is in contrast with the usual practice, where unit tests are only written after code. 2. Write a test for an item on the list Write an automated test that would pass if the variant in the new behavior is met. 3. Run all tests. The new test should fail – for expected reasons This shows that new code is actually needed for the desired feature.

  9. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]