Editing MeritBadges

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== Introduction ==
== Introduction ==


The idea behind the Merit Badge system is to create a bootstrap path for people seeking to learn practical, technical subjects relatively quickly.  It is intended to be organic and non-limiting, while simultaneously providing a small amount of basic structure.
The NoiseBridge Merit Badge System is an attempt to leverage the organizational coherence of NoiseBridge to facilitate basic knowledge transfer.  It is intended to be organic and non-limiting, while simultaneously providing the basic structure that most people need in order to successfully acquire a new skill.


Initially, Merit Badges are intended to convey entry-level competency:  after completing the requirements for a given badge, it is intended that the student should then be capable of taking on projects in that discipline in a more or less self directed manner.  Several groups of Badges have been grouped together into "clusters"; in this case, the Student should, after completing the required badges, finish a Cluster by completing an original project with the help of their SME.
Initially, Merit Badges are intended to convey entry-level competency:  after completing the requirements for a given badge, it is intended that the student should then be capable of taking on projects in that discipline in a more or less self directed manner.  Several groups of Badges have been grouped together into "clusters"; in this case, the Student should, after completing the required badges, finish a Cluster by completing an original project with the help of their SME.


Each Merit Badge had three essential components:
The specific benefits that the MBS ("Merit Badge System") provides coincide more or less one-for-one with the essential components of each Merit Badge:


* '''Goals''' -- Each Merit Badge provides a specific set of goals or requirements; generally these consist of between 5 and 10 points, many of which will have some number of component sub-requirements.  These requirements are meant to be a guide which will provide a hands-on introductory tour of the discipline in question.
* '''Goals''' -- Each Merit Badge provides a specific set of goals or requirements; generally these consist of between 5 and 10 points, many of which will have some number of component sub-requirements.  These requirements are meant to be a guide which will provide a hands-on introductory tour of the discipline in question.
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In a nutshell:
In a nutshell:


# Decide on a merit badge or cluster.  All Badges are entry-level and assume no prior competency in the subject matter (although your SME may have a preferred order within each cluster).
# Decide on a merit badge or cluster.  All Badges are entry-level and assume no prior competency in the subject matter.
# Read the requirements and familiarize yourself with at least the basic structure of the reference material.
# Read the requirements and familliarize yourself with at least the basic structure of the reference material.
# Contact an SME associated with that Badge and tell them that you're working on this Badge.  They may or may not wish to meet with you and discuss your planned progress.
# Contact an SME associated with that Badge and tell them that you're working on this Badge.  They may or may not wish to meet with you and discuss your planned progress.
# As you complete goals, have your SME sign off on them; this may be done on the wiki or by printing out the Merit Badge requirements page.
# As you complete goals, have your SME sign off on them; this may be done on the wiki or by printing out the Merit Badge requirements page.
# Help your SME mentor one other person.
# Once all goals are completed, have your SME put your achievement on the agenda for the next meeting that you and they can both be present for.
# Once all goals are completed, have your SME put your achievement on the agenda for the next meeting that you and they can both be present for.
# Receive accolades!
# Receive accolades!
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=== Machine Learning ===
=== Machine Learning ===
* [[MeritBadges/DecisionTrees|Decision Trees]] -- Decision Trees, with a bit of information theory
* [[MeritBadges/DecisionTrees|Decision Trees]] -- Decision Trees, with a bit of information theory
* [[MeritBadges/Statistics|Statistics]] -- Basic statistics, including probabilities, and sampling
* [[MeritBadges/BasicClassifiers|Basic Classifiers]] -- Naive Bayes and SVMs
* [[MeritBadges/BasicClassifiers|Basic Classifiers]] -- Naive Bayes and SVMs
* [[MeritBadges/BasicClustering|Basic Clustering]] -- metric spaces and k-Means clustering
* [[MeritBadges/BasicClustering|Basic Clustering]] -- metric spaces and k-Means clustering
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