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 Mean:
- Meaning The average value, although technically that is known as the “arithmetic mean.” (Other means include the geometric and harmonic means.) See also median, mode machine learning definition.
- 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 explain.
- Manual Median:
- Meaning When values are sorted, the value in the middle, or the average of the two in the middle if there are an even number of values. See also mean, mode machine learning what is.
- Manual Mode:
- Meaning occurs most often in a sample of data. Like the median, the mode cannot be directly calculated”[stanton] although it’s easy enough to find with a little scripting. For people who work with statistics machine learning meaning.
- Manual Mean Absolute Error:
- Meaning Also, MAE. The average error of all predicted values when compared with observed values. See also Mean Squared Error, Root Mean Squared Error machine learning abbreviation.
