Explain MACHINE LEARNING: The use of data-driven algorithms that perform better as they have more data to work with, “learning” (that is, refining their models) from this additional data. This often involves cross-validation with training and test data sets. “The fundamental goal of machine learning is to generalize beyond the examples in the training set.”[domingos] Studying the practical application of machine learning usually means researching which machine learning algorithms are best for which situations. See also algorithm, cross-validation, artificial intelligence.
Different definitions in web development like machine learning in Dictionary M.
- Manual Moving Average:
- Meaning average) of time series data (observations equally spaced in time, such as per hour or per day) from several consecutive periods is called the moving average. It is called moving because the average machine learning definition.
- Manual Mean Squared Error:
- Meaning average of the squares of all the errors found when comparing predicted values with observed values. Squaring them makes the bigger errors count for more, making Mean Squared Error more popular than machine learning explain.
- Manual MATLAB:
- Meaning A commercial computer language and environment popular for visualization and algorithm development machine learning what is.
- Manual Markov Chain:
- Meaning working with a series of events (for example, a system being in particular states) to predict the possibility of a certain event based on which other events have happened. The identification of machine learning meaning.
- Manual Matrix:
- Meaning An older Webster’s dictionary with a heavier emphasis on typographical representation gives the mathematical definition as “a set of numbers or terms arranged in rows and columns between parentheses machine learning abbreviation.
