LXer: An introduction to audio processing and machine learning using Python
by LXer from LinuxQuestions.org on (#4QREZ)
Published at LXer:
At a high level, any machine learning problem can be divided into three types of tasks: data tasks (data collection, data cleaning, and feature formation), training (building machine learning models using data features), and evaluation (assessing the model). Features, defined as "individual measurable propert[ies] or characteristic[s] of a phenomenon being observed," are very useful because they help a machine understand the data and classify it into categories or predict a value.read more
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At a high level, any machine learning problem can be divided into three types of tasks: data tasks (data collection, data cleaning, and feature formation), training (building machine learning models using data features), and evaluation (assessing the model). Features, defined as "individual measurable propert[ies] or characteristic[s] of a phenomenon being observed," are very useful because they help a machine understand the data and classify it into categories or predict a value.read more
Read More...