examples machine learning what is
ABBREVIATION Machine Learning, Mode, Mean, Moving Average, Markov Chain, Matrix, Median, Monte.

# Definitions for developers starting with letter M

• Matlab definition Definition A commercial computer language and environment popular for visualization and algorithm development compare
• Error Squared Mean definition Explain of all the errors found when comparing predicted values with observed values. Squaring them makes the bigger errors count for more, making what does it mean
• Error Absolute Mean definition What is predicted values when compared with observed values. See also Mean Squared Error, Root Mean Squared Error how works
• Method Carlo Monte definition Meaning generated numbers as part of an algorithm. Its use with Markov Chains is so popular that people usually refer to the combination with the why
• Median definition Abbreviation the middle, or the average of the two in the middle if there are an even number of values. See also mean, mode determines
• Matrix definition How to dictionary with a heavier emphasis on typographical representation gives the mathematical definition as “a set of numbers or terms arranged comparing to
• Chain Markov definition Help of events (for example, a system being in particular states) to predict the possibility of a certain event based on which other events have depends on
• Average Moving definition Crossword data (observations equally spaced in time, such as per hour or per day) from several consecutive periods is called the moving average. It which
• Mean definition Examples that is known as the “arithmetic mean.” (Other means include the geometric and harmonic means.) See also median, mode difference
• Mode definition Encyclopedia sample of data. Like the median, the mode cannot be directly calculated”[stanton] although it’s easy enough to find with a little scripting when
• Learning Machine definition Information about perform better as they have more data to work with, “learning” (that is, refining their models) from this additional data. This often pros and cons